Editorial

5 pages, 204 KiB

Open AccessEditorial

Special Issue on Trends and Challenges in Robotic Applications

by Luis Gracia and Carlos Perez-Vidal

Appl. Sci. 2023, 13(16), 9131; https://doi.org/10.3390/app13169131 - 10 Aug 2023

Viewed by 707

The world of robotics has evolved rapidly in recent years, with groundbreaking advancements and innovative applications becoming increasingly prevalent [...] Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

Research

Jump to: Editorial, Review

12 pages, 21005 KiB

Open AccessFeature PaperArticle

Estimating the Soundscape Structure and Dynamics of Forest Bird Vocalizations in an Azimuth-Elevation Space Using a Microphone Array

by Reiji Suzuki, Koichiro Hayashi, Hideki Osaka, Shiho Matsubayashi, Takaya Arita, Kazuhiro Nakadai and Hiroshi G. Okuno

Appl. Sci. 2023, 13(6), 3607; https://doi.org/10.3390/app13063607 - 11 Mar 2023

Cited by 1 | Viewed by 1332

Abstract

Songbirds are one of the study targets for both bioacoustic and ecoacoustic research. In this paper, we discuss the applicability of robot audition techniques to understand the dynamics of forest bird vocalizations in a soundscape measured in azimuth and elevation angles with a [...] Read more.

Songbirds are one of the study targets for both bioacoustic and ecoacoustic research. In this paper, we discuss the applicability of robot audition techniques to understand the dynamics of forest bird vocalizations in a soundscape measured in azimuth and elevation angles with a single 16-channel microphone array, using HARK and HARKBird. First, we evaluated the accuracy in estimating the azimuth and elevation angles of bird vocalizations replayed from a loudspeaker on a tree, 6.55 m above the height of the array, from different horizontal distances in a forest. The results showed that the localization error of azimuth and elevation angle was equal to or less than 5 degrees and 15 degrees, respectively, in most of cases when the horizontal distance from the array was equal to or less than 35 m. We then conducted a field observation of vocalizations to monitor birds in a forest. The results showed that the system can successfully detect how birds use the soundscape horizontally and vertically. This can contribute to bioacoustic and ecoacoustic research, including behavioral observations and study of biodiversity. Full article

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22 pages, 2024 KiB

Open AccessArticle

Drone and Controller Detection and Localization: Trends and Challenges

by Jawad Yousaf, Huma Zia, Marah Alhalabi, Maha Yaghi, Tasnim Basmaji, Eiman Al Shehhi, Abdalla Gad, Mohammad Alkhedher and Mohammed Ghazal

Appl. Sci. 2022, 12(24), 12612; https://doi.org/10.3390/app122412612 - 09 Dec 2022

Cited by 8 | Viewed by 6863

Abstract

Unmanned aerial vehicles (UAVs) have emerged as a rapidly growing technology seeing unprecedented adoption in various application sectors due to their viability and low cost. However, UAVs have also been used to perform illegal and malicious actions, which have recently increased. This creates [...] Read more.

Unmanned aerial vehicles (UAVs) have emerged as a rapidly growing technology seeing unprecedented adoption in various application sectors due to their viability and low cost. However, UAVs have also been used to perform illegal and malicious actions, which have recently increased. This creates a need for technologies capable of detecting, classifying, and deactivating malicious and unauthorized drones. This paper reviews the trends and challenges of the most recent UAV detection methods, i.e., radio frequency-based (RF), radar, acoustic, and electro-optical, and localization methods. Our research covers different kinds of drones with a major focus on multirotors. The paper also highlights the features and limitations of the UAV detection systems and briefly surveys the UAV remote controller detection methods. Full article

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21 pages, 5288 KiB

Open AccessArticle

Bio-Inspired Model-Based Design and Control of Bipedal Robot

by David Polakovič, Martin Juhás, Bohuslava Juhásová and Zuzana Červeňanská

Appl. Sci. 2022, 12(19), 10058; https://doi.org/10.3390/app121910058 - 06 Oct 2022

Cited by 1 | Viewed by 1581

Abstract

The article aims to describe stages of development of a mobile, anthropomorphic robot. The individual phases of the bio-inspired model-based design of a two-legged robot are described, from the analysis of human walking patterns, through the creation of a simulation model and a [...] Read more.

The article aims to describe stages of development of a mobile, anthropomorphic robot. The individual phases of the bio-inspired model-based design of a two-legged robot are described, from the analysis of human walking patterns, through the creation of a simulation model and a control system to the creation and testing the physical model of such a robot. The bio-inspired design is based on an analysis of the movements of the individual parts of a lower human body during walking locomotion. Based on this analysis, the chosen motion model is described as a combination of passive and dynamic walking with a controlled, linear inverted pendulum model. When creating the simulation model, an open kinematic chain consisting of a base (the frame) and two effectors (the legs) is used. The simulation of the virtual model is realized using the software tool Matlab with its toolboxes Simulink and Simscape, and the results confirm the correctness of the design. The feasibility of the design is confirmed by creation of a physical robot skeleton using 3D printing and by a commissioning of the control system based on Atmel ATmega2560 and Raspberry Pi Zero W microcontrollers. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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20 pages, 5064 KiB

Open AccessArticle

A Novel Inverse Kinematic Solution of a Six-DOF Robot Using Neural Networks Based on the Taguchi Optimization Technique

by Teodoro Ibarra-Pérez, José Manuel Ortiz-Rodríguez, Fernando Olivera-Domingo, Héctor A. Guerrero-Osuna, Hamurabi Gamboa-Rosales and Ma. del Rosario Martínez-Blanco

Appl. Sci. 2022, 12(19), 9512; https://doi.org/10.3390/app12199512 - 22 Sep 2022

Cited by 6 | Viewed by 1495

Abstract

The choice of structural parameters in the design of artificial neural networks is generally based on trial-and-error procedures. They are regularly estimated based on the previous experience of the researcher, investing large amounts of time and processing resources during network training, which are [...] Read more.

The choice of structural parameters in the design of artificial neural networks is generally based on trial-and-error procedures. They are regularly estimated based on the previous experience of the researcher, investing large amounts of time and processing resources during network training, which are usually limited and do not guarantee the optimal selection of parameters. This paper presents a procedure for the optimization of the training dataset and the optimization of the structural parameters of a neural network through the application of a robust neural network design methodology based on the design philosophy proposed by Genichi Taguchi, applied to the solution of inverse kinematics in an open source, six-degrees-of-freedom robotic manipulator. The results obtained during the optimization process of the structural parameters of the network show an improvement in the accuracy of the results, reaching a high prediction percentage and maintaining a margin of error of less than 5%. Full article

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13 pages, 4401 KiB

Open AccessArticle

A Symmetry Evaluation Method, Using Elevation Angle, for Lower Limb Movement Patterns during Sitting-to-Standing

by Kensuke Nakamura and Norihiko Saga

Appl. Sci. 2022, 12(19), 9454; https://doi.org/10.3390/app12199454 - 21 Sep 2022

Cited by 1 | Viewed by 1261

Abstract

In this paper, we propose a method that uses the femoral and tibial elevation angles to quantitatively evaluate the symmetry of lower limb movement during the transition from a sitting position to a standing position. In kinematic analysis of the transition from sitting [...] Read more.

In this paper, we propose a method that uses the femoral and tibial elevation angles to quantitatively evaluate the symmetry of lower limb movement during the transition from a sitting position to a standing position. In kinematic analysis of the transition from sitting to standing, the angles of the three joints of the lower limb are often measured. However, due to the large number of variables, it is difficult to evaluate the symmetry of the lower limb movement by comparing data from the six joints of the left and right lower limbs. In this study, therefore, we measured the femoral and tibial elevation angles of healthy participants and rehabilitation patients and visually and numerically evaluated the symmetry and asymmetry of the movement of the left and right lower limbs. We were able to identify the kinematically major lower limbs in the transition from sitting to standing and quantify the symmetry of the movement patterns of the left and right lower limbs. Furthermore, we examined the possibility that the method could be effectively used in the rehabilitation field to evaluate the motor co-ordination that constitutes the lower limb movement pattern in the transition from the sitting to standing position, such as the gait plane rule. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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30 pages, 12140 KiB

Open AccessArticle

Multiple Object Tracking in Robotic Applications: Trends and Challenges

by Abdalla Gad, Tasnim Basmaji, Maha Yaghi, Huda Alheeh, Mohammad Alkhedher and Mohammed Ghazal

Appl. Sci. 2022, 12(19), 9408; https://doi.org/10.3390/app12199408 - 20 Sep 2022

Cited by 11 | Viewed by 2923

Abstract

The recent advancement in autonomous robotics is directed toward designing a reliable system that can detect and track multiple objects in the surrounding environment for navigation and guidance purposes. This paper aims to survey the recent development in this area and present the [...] Read more.

The recent advancement in autonomous robotics is directed toward designing a reliable system that can detect and track multiple objects in the surrounding environment for navigation and guidance purposes. This paper aims to survey the recent development in this area and present the latest trends that tackle the challenges of multiple object tracking, such as heavy occlusion, dynamic background, and illumination changes. Our research includes Multiple Object Tracking (MOT) methods incorporating the multiple inputs that can be perceived from sensors such as cameras and Light Detection and Ranging (LIDAR). In addition, a summary of the tracking techniques, such as data association and occlusion handling, is detailed to define the general framework that the literature employs. We also provide an overview of the metrics and the most common benchmark datasets, including Karlsruhe Institute of Technology and Toyota Technological Institute (KITTI), MOTChallenges, and University at Albany DEtection and TRACking (UA-DETRAC), that are used to train and evaluate the performance of MOT. At the end of this paper, we discuss the results gathered from the articles that introduced the methods. Based on our analysis, deep learning has introduced significant value to the MOT techniques in recent research, resulting in high accuracy while maintaining real-time processing. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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15 pages, 1307 KiB

Open AccessArticle

A Smart Modular IoT Sensing Device for Enhancing Sensory Feedbacks in Surgical Robotics

by Mafalda Rosa, Rongrong Liu, Giorgio Pitruzzello and Giuseppe Tortora

Appl. Sci. 2022, 12(16), 8083; https://doi.org/10.3390/app12168083 - 12 Aug 2022

Cited by 1 | Viewed by 1070

Abstract

This paper proposes a device of sensing that could be integrated into the instruments of any surgical robot. Despite advances in robot-assisted laparoscopic surgery, the tools currently supplied to surgical robots have limited functions, due to the absence of sensorization. With this motivation, [...] Read more.

This paper proposes a device of sensing that could be integrated into the instruments of any surgical robot. Despite advances in robot-assisted laparoscopic surgery, the tools currently supplied to surgical robots have limited functions, due to the absence of sensorization. With this motivation, we present a preliminary work based on the design, development, and early stages of experimentation with smart and multifunctional devices of sensing for surgical tools. The proposed device of sensing has a proximity sensor, colorimetric sensor, and BLE connection for different surgical instruments to connect to each other. The proximity feedback allows the surgeon to know the distance of the instrument from a particular tissue, to operate in conditions of greater safety. With the colorimetric feedback, on the other hand, we intend to proceed to the identification of specific tissue areas with characteristics that are not typical of the physiological tissue. The results show that the device is promising and can be further developed for multiple clinical needs in robotic procedures. This system can effectively increase the functionality of surgical instruments by overcoming the sensing limitations introduced by using robots in laparoscopic surgery. Full article

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15 pages, 6524 KiB

Open AccessArticle

Towards a Multi-Perspective Time of Flight Laser Ranging Device Based on Mirrors and Prisms

by Luka Pogačnik and Marko Munih

Appl. Sci. 2022, 12(14), 7121; https://doi.org/10.3390/app12147121 - 14 Jul 2022

Cited by 4 | Viewed by 1376

Abstract

This paper investigates the feasibility of redirecting the field of view (FOV) of a light-based time-of-flight (ToF) ranging device, commonly known as a pulsed lidar, using fixed mirrors and prisms for possible future use in robotics. The emphasis is on configurations where the [...] Read more.

This paper investigates the feasibility of redirecting the field of view (FOV) of a light-based time-of-flight (ToF) ranging device, commonly known as a pulsed lidar, using fixed mirrors and prisms for possible future use in robotics. The emphasis is on configurations where the FOV redirection element is positioned beyond the ranging device’s dead zone. A custom made direct ToF ranging device with time-over-threshold (TOT)-based walk error compensation was used to evaluate the effects of the FOV redirecting optics on range measurement accuracy and precision. The tests include redirecting the FOV with a clean prism with anti-reflective (AR) coating on its legs, as well as with a regular and a first surface mirror in both a clean and dusted state. The study finds the prism to be unsuitable due to parasitic reflections, which ruin the ranging data. The clean mirrors were found to have no noticeable effect on ranging accuracy. When they are dusty, mirrors introduce a negative measurement error. This effect is the most pronounced when a mirror is positioned toward the end of the partial dead zone of the ToF rangefinder, but loses influence as the mirror is moved farther away. The error is attributed to the parasitic reflection off dust on the mirror, which reduces the time of detection of the pulse reflected off the real target, and interferes with the walk error compensation by widening the detected pulse. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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19 pages, 7145 KiB

Open AccessArticle

Face Recognition and Tracking Framework for Human–Robot Interaction

by Aly Khalifa, Ahmed A. Abdelrahman, Dominykas Strazdas, Jan Hintz, Thorsten Hempel and Ayoub Al-Hamadi

Appl. Sci. 2022, 12(11), 5568; https://doi.org/10.3390/app12115568 - 30 May 2022

Cited by 7 | Viewed by 3783

Abstract

Recently, face recognition became a key element in social cognition which is used in various applications including human–robot interaction (HRI), pedestrian identification, and surveillance systems. Deep convolutional neural networks (CNNs) have achieved notable progress in recognizing faces. However, achieving accurate and real-time face [...] Read more.

Recently, face recognition became a key element in social cognition which is used in various applications including human–robot interaction (HRI), pedestrian identification, and surveillance systems. Deep convolutional neural networks (CNNs) have achieved notable progress in recognizing faces. However, achieving accurate and real-time face recognition is still a challenging problem, especially in unconstrained environments due to occlusion, lighting conditions, and the diversity in head poses. In this paper, we present a robust face recognition and tracking framework in unconstrained settings. We developed our framework based on lightweight CNNs for all face recognition stages, including face detection, alignment and feature extraction, to achieve higher accuracies in these challenging circumstances while maintaining the real-time capabilities required for HRI systems. To maintain the accuracy, a single-shot multi-level face localization in the wild (RetinaFace) is utilized for face detection, and additive angular margin loss (ArcFace) is employed for recognition. For further enhancement, we introduce a face tracking algorithm that combines the information from tracked faces with the recognized identity to use in the further frames. This tracking algorithm improves the overall processing time and accuracy. The proposed system performance is tested in real-time experiments applied in an HRI study. Our proposed framework achieves real-time capabilities with an average of 99%, 95%, and 97% precision, recall, and F-score respectively. In addition, we implemented our system as a modular ROS package that makes it straightforward for integration in different real-world HRI systems. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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24 pages, 10739 KiB

Open AccessArticle

Augmented Reality-Based Interface for Bimanual Robot Teleoperation

by Alberto García, J. Ernesto Solanes, Adolfo Muñoz, Luis Gracia and Josep Tornero

Appl. Sci. 2022, 12(9), 4379; https://doi.org/10.3390/app12094379 - 26 Apr 2022

Cited by 8 | Viewed by 2240

Abstract

Teleoperation of bimanual robots is being used to carry out complex tasks such as surgeries in medicine. Despite the technological advances, current interfaces are not natural to the users, who spend long periods of time in learning how to use these interfaces. In [...] Read more.

Teleoperation of bimanual robots is being used to carry out complex tasks such as surgeries in medicine. Despite the technological advances, current interfaces are not natural to the users, who spend long periods of time in learning how to use these interfaces. In order to mitigate this issue, this work proposes a novel augmented reality-based interface for teleoperating bimanual robots. The proposed interface is more natural to the user and reduces the interface learning process. A full description of the proposed interface is detailed in the paper, whereas its effectiveness is shown experimentally using two industrial robot manipulators. Moreover, the drawbacks and limitations of the classic teleoperation interface using joysticks are analyzed in order to highlight the benefits of the proposed augmented reality-based interface approach. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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11 pages, 1007 KiB

Open AccessArticle

Robotic-Assisted Hand Therapy with Gloreha Sinfonia for the Improvement of Hand Function after Pediatric Stroke: A Case Report

by Federica Bressi, Fabio Santacaterina, Laura Cricenti, Benedetta Campagnola, Francesca Nasto, Carla Assenza, Daniela Morelli, Francesca Cordella, Martina Lapresa, Loredana Zollo, Silvia Sterzi and Marco Bravi

Appl. Sci. 2022, 12(9), 4206; https://doi.org/10.3390/app12094206 - 21 Apr 2022

Cited by 11 | Viewed by 3087

Abstract

Background: Stroke in childhood presents a serious rehabilitation challenge since it leads to physical, cognitive and psychosocial disability. The objective of our study was to describe the effectiveness of robot-mediated therapy (RMT) with Gloreha Sinfonia in addition to a conventional treatment in the [...] Read more.

Background: Stroke in childhood presents a serious rehabilitation challenge since it leads to physical, cognitive and psychosocial disability. The objective of our study was to describe the effectiveness of robot-mediated therapy (RMT) with Gloreha Sinfonia in addition to a conventional treatment in the recovery of the sensory-motor capabilities of the paretic hand and the quality of life in a ten-year-old child after a stroke. Methods: The girl was enrolled to undergo 10 sessions of RMT with Gloreha Sinfonia. She was evaluated with functional scales and with upper limb kinematic analysis at pre-treatment (T0) and at the end of treatment (T1). Outcome measures were Fugl-Meyer Assessment-Upper Extremity (FMA-UE), Visual Analogic Scale (VAS) and Activities and Participation of Daily Life (ADL). In addition, a Force Assessment System based on Virtual Reality games was used to assess the force control and modulation capability at T0 and T1. Results: At the end of treatment, the patient improved in functional scales and in quality of life for greater involvement in some activity of daily living. Force control and modulation capability significantly increased after the treatment. Conclusions: This clinical case highlights possible positive effects of a combined (conventional plus robotic) rehabilitation treatment for the upper limb in pediatric stroke outcomes from both a sensorimotor and functional point of view, also improving the motivational and affective aspects of the patient and of family members. Further studies are needed to validate these results and to identify the most appropriate modalities and doses. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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17 pages, 11555 KiB

Open AccessArticle

Evaluation of RGB-D Multi-Camera Pose Estimation for 3D Reconstruction

by Ian de Medeiros Esper, Oleh Smolkin, Maksym Manko, Anton Popov, Pål Johan From and Alex Mason

Appl. Sci. 2022, 12(9), 4134; https://doi.org/10.3390/app12094134 - 20 Apr 2022

Cited by 12 | Viewed by 3501

Abstract

Advances in visual sensor devices and computing power are revolutionising the interaction of robots with their environment. Cameras that capture depth information along with a common colour image play a significant role. These devices are cheap, small, and fairly precise. The information provided, [...] Read more.

Advances in visual sensor devices and computing power are revolutionising the interaction of robots with their environment. Cameras that capture depth information along with a common colour image play a significant role. These devices are cheap, small, and fairly precise. The information provided, particularly point clouds, can be generated in a virtual computing environment, providing complete 3D information for applications. However, off-the-shelf cameras often have a limited field of view, both on the horizontal and vertical axis. In larger environments, it is therefore often necessary to combine information from several cameras or positions. To concatenate multiple point clouds and generate the complete environment information, the pose of each camera must be known in the outer scene, i.e., they must reference a common coordinate system. To achieve this, a coordinate system must be defined, and then every device must be positioned according to this coordinate system. For cameras, a calibration can be performed to find its pose in relation to this coordinate system. Several calibration methods have been proposed to solve this challenge, ranging from structured objects such as chessboards to features in the environment. In this study, we investigate how three different pose estimation methods for multi-camera perspectives perform when reconstructing a scene in 3D. We evaluate the usage of a charuco cube, a double-sided charuco board, and a robot’s tool centre point (TCP) position in a real usage case, where precision is a key point for the system. We define a methodology to identify the points in the 3D space and measure the root-mean-square error (RMSE) based on the Euclidean distance of the actual point to a generated ground-truth point. The reconstruction carried out using the robot’s TCP position produced the best result, followed by the charuco cuboid; the double-sided angled charuco board exhibited the worst performance. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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12 pages, 3150 KiB

Open AccessArticle

Creating a Novel Mathematical Model of the Kv10.1 Ion Channel and Controlling Channel Activity with Nanoelectromechanical Systems

by Jasmina Lozanović Šajić, Sonja Langthaler and Christian Baumgartner

Appl. Sci. 2022, 12(8), 3836; https://doi.org/10.3390/app12083836 - 11 Apr 2022

Cited by 2 | Viewed by 1544

Abstract

The use of nanoelectromechanical systems or nanorobots offers a new concept for sensing and controlling subcellular structures, such as ion channels. We present here a novel method for mathematical modeling of ion channels based on control system theory and system identification. We investigated [...] Read more.

The use of nanoelectromechanical systems or nanorobots offers a new concept for sensing and controlling subcellular structures, such as ion channels. We present here a novel method for mathematical modeling of ion channels based on control system theory and system identification. We investigated the use of nanoelectromechanical devices to control the activity of ion channels, particularly the activity of the voltage-gated ion channel Kv10.1, an important channel in cancer development and progression. A mathematical model of the dynamic behavior of the selected ion channel Kv10.1 in the Laplace (s) domain was developed, which is given in the representation of a transfer function. In addition, we addressed the possibilities of controlling ion channel activity by nanoelectromechanical devices and nanorobots and finally presented a control algorithm for the Kv10.1 as a control object. A use case demonstrates the potential of a Kv10.1 controlled nanorobot for cancer treatment at a single-cell level. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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14 pages, 474 KiB

Open AccessArticle

Using Full Pose Measurement for Serial Robot Calibration

by Marek Franaszek and Jeremy A. Marvel

Appl. Sci. 2022, 12(7), 3680; https://doi.org/10.3390/app12073680 - 06 Apr 2022

Cited by 2 | Viewed by 2171

Abstract

To ensure smooth robot operations, parameters of its kinematic model and a registration transformation between robot base and world coordinate frame must be determined. Both tasks require data acquired by external sensors that can measure either 3D locations or full 6D poses. We [...] Read more.

To ensure smooth robot operations, parameters of its kinematic model and a registration transformation between robot base and world coordinate frame must be determined. Both tasks require data acquired by external sensors that can measure either 3D locations or full 6D poses. We show that use of full pose measurements leads to much smaller robot orientation errors when compared with the outcome of calibration and registration procedures based on 3D data only. Robot position errors are comparable for both types of data. The conclusion is based on extensive simulations of 7 degrees of freedom robot arm and different levels of pseudo-noise perturbing both positional and rotational components of pose. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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20 pages, 5112 KiB

Open AccessFeature PaperArticle

Longitudinal Mode System Identification of an Insect-like Tailless Flapping-Wing Micro Air Vehicle Using Onboard Sensors

by Steven Aurecianus, Gi-Heon Ha, Hoon-Cheol Park and Tae-Sam Kang

Appl. Sci. 2022, 12(5), 2486; https://doi.org/10.3390/app12052486 - 27 Feb 2022

Cited by 3 | Viewed by 2155

Abstract

In this paper, model parameter identification results are presented for a longitudinal mode dynamic model of an insect-like tailless flapping-wing micro air vehicle (FWMAV) using angle and angular rate data from onboard sensors only. A gray box model approach with indirect method was [...] Read more.

In this paper, model parameter identification results are presented for a longitudinal mode dynamic model of an insect-like tailless flapping-wing micro air vehicle (FWMAV) using angle and angular rate data from onboard sensors only. A gray box model approach with indirect method was utilized with adaptive Gauss–Newton, Levenberg–Marquardt, and gradient search identification methods. Regular and low-frequency reference commands were mainly used for identification since they gave higher fit percentages than irregular and high-frequency reference commands. Dynamic parameters obtained using three identification methods with two different datasets were similar to each other, indicating that the obtained dynamic model was sufficiently reliable. Most of the identified dynamic model parameters had similar values to the computationally obtained ones, except stability derivatives for pitching moment with forward velocity and pitching rate variations. Differences were mainly due to certain neglected body, nonlinear dynamics, and the shift of the center of gravity. Fit percentage of the identified dynamic model (~49%) was more than two-fold higher than that of the computationally obtained one (~22%). Frequency domain analysis showed that the identified model was much different from that of the computationally obtained one in the frequency range of 0.3 rad/s to 5 rad/s, which affected transient responses. Both dynamic models showed that the phase margin was very low, and that it should be increased by a feedback controller to have a robustly stable system. The stable dominant pole of the identified model had a higher magnitude which resulted in faster responses. The identified dynamic model exhibited much closer responses to experimental flight data in pitching motion than the computationally obtained dynamic model, demonstrating that the identified dynamic model could be used for the design of more effective pitch angle-stabilizing controllers. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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15 pages, 11322 KiB

Open AccessArticle

An Efficient Stochastic Constrained Path Planner for Redundant Manipulators

by Arturo Gil Aparicio and Jaime Valls Miro

Appl. Sci. 2021, 11(22), 10636; https://doi.org/10.3390/app112210636 - 11 Nov 2021

Cited by 2 | Viewed by 1164

Abstract

This brief proposes a novel stochastic method that exploits the particular kinematics of mechanisms with redundant actuation and a well-known manipulability measure to track the desired end-effector task-space motion in an efficient manner. Whilst closed-form optimal solutions to maximise manipulability along a desired [...] Read more.

This brief proposes a novel stochastic method that exploits the particular kinematics of mechanisms with redundant actuation and a well-known manipulability measure to track the desired end-effector task-space motion in an efficient manner. Whilst closed-form optimal solutions to maximise manipulability along a desired trajectory have been proposed in the literature, the solvers become unfeasible in the presence of obstacles. A manageable alternative to functional motion planning is thus proposed that exploits the inherent characteristics of null-space configurations to construct a generic solution able to improve manipulability along a task-space trajectory in the presence of obstacles. The proposed Stochastic Constrained Optimization (SCO) solution remains close to optimal whilst exhibiting computational tractability, being an attractive proposition for implementation on real robots, as shown with results in challenging simulation scenarios, as well as with a real 7R Sawyer manipulator, during surface conditioning tasks. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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27 pages, 12345 KiB

Open AccessArticle

Autonomous Loading System for Load-Haul-Dump (LHD) Machines Used in Underground Mining

by Carlos Tampier, Mauricio Mascaró and Javier Ruiz-del-Solar

Appl. Sci. 2021, 11(18), 8718; https://doi.org/10.3390/app11188718 - 18 Sep 2021

Cited by 9 | Viewed by 6046

Abstract

This paper describes an autonomous loading system for load-haul-dump (LHD) machines used in underground mining. The loading of fragmented rocks from draw points is a complex task due to many factors including: bucket-rock interaction forces that are difficult to model, humidity that increases [...] Read more.

This paper describes an autonomous loading system for load-haul-dump (LHD) machines used in underground mining. The loading of fragmented rocks from draw points is a complex task due to many factors including: bucket-rock interaction forces that are difficult to model, humidity that increases cohesion forces, and the possible presence of boulders. The proposed system is designed to integrate all the relevant tasks required for ore loading: rock pile identification, LHD positioning in front of the ore pile, charging and excavating into the ore pile, pull back and payload weighing. The system follows the shared autonomy paradigm: given that the loading process may not be completed autonomously in some cases, it takes into account that the machine/agent can detect this situation and ask a human operator for assistance. The most novel component of the proposed autonomous loading system is the excavation algorithm, and the disclosure of the results obtained from its application in a real underground production environment. The excavation method is based on the way that human operators excavate: while excavating, the bucket is tilted intermittently in order to penetrate the material, and the boom of the LHD is lifted on demand to prevent or correct wheel skidding. Wheel skidding is detected with a patented method that uses LIDAR-based odometry and internal measurements of the LHD. While a complete loading system was designed, the validation had to be divided in two stages. One stage included the rock pile identification and positioning, and the other included the charging, excavation, pull back, and weighting processes. The stage concerning the excavation algorithm was validated using full-scale experiments with a real-size LHD in an underground copper mine in the north of Chile, while the stage concerning the rock pile identification was later validated using real data. The tests showed that the excavation algorithm is able to load the material with an average of 90% bucket fill factor using between three and four attempts (professional human operators required between two and three loading attempts in this mine). Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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15 pages, 2431 KiB

Open AccessArticle

Evaluating Levels of Automation in Human–Robot Collaboration at Different Workload Levels

by Dana Gutman, Samuel Olatunji and Yael Edan

Appl. Sci. 2021, 11(16), 7340; https://doi.org/10.3390/app11167340 - 10 Aug 2021

Cited by 5 | Viewed by 2149

Abstract

This study explored how levels of automation (LOA) influence human robot collaboration when operating at different levels of workload. Two LOA modes were designed, implemented, and evaluated in an experimental collaborative assembly task setup for four levels of workload composed of a secondary [...] Read more.

This study explored how levels of automation (LOA) influence human robot collaboration when operating at different levels of workload. Two LOA modes were designed, implemented, and evaluated in an experimental collaborative assembly task setup for four levels of workload composed of a secondary task and task complexity. A user study conducted involving 80 participants was assessed through two constructs especially designed for the evaluation (quality of task execution and usability) and user preferences regarding the LOA modes. Results revealed that the quality of task execution and usability was better at high LOA for low workload. Most of participants also preferred high LOA when the workload increases. However, when complexity existed within the workload, most of the participants preferred the low LOA. The results reveal the benefits of high and low LOA in different workload situations. This study provides insights related to shared control designs and reveals the importance of considering different levels of workload as influenced by secondary tasks and task complexity when designing LOA in human–robot collaborations. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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19 pages, 2258 KiB

Open AccessArticle

Dual-Arm Peg-in-Hole Assembly Using DNN with Double Force/Torque Sensor

by David Ortega-Aranda, Julio Fernando Jimenez-Vielma, Baidya Nath Saha and Ismael Lopez-Juarez

Appl. Sci. 2021, 11(15), 6970; https://doi.org/10.3390/app11156970 - 29 Jul 2021

Cited by 5 | Viewed by 2414

Abstract

Assembly tasks executed by a robot have been studied broadly. Robot assembly applications in industry are achievable by a well-structured environment, where the parts to be assembled are located in the working space by fixtures. Recent changes in manufacturing requirements, due to unpredictable [...] Read more.

Assembly tasks executed by a robot have been studied broadly. Robot assembly applications in industry are achievable by a well-structured environment, where the parts to be assembled are located in the working space by fixtures. Recent changes in manufacturing requirements, due to unpredictable demanded products, push the factories to seek new smart solutions that can autonomously recover from failure conditions. In this way, new dual arm robot systems have been studied to design and explore applications based on its dexterity. It promises the possibility to get rid of fixtures in assembly tasks, but using less fixtures increases the uncertainty on the location of the components in the working space. It also increases the possibility of collisions during the assembly sequence. Under these considerations, adding perception such as force/torque sensors have been done to produce useful data to perform control actions. Unfortunately, the interaction forces between mating parts produced non-linear behavior. Consequently, machine learning algorithms have been considered an alternative tool to avoid the non-linearity. In this work we introduce an assembly strategy for an industrial dual arm robot based on the combination of a discrete event controller and Deep Neural Networks (DNN) to solve the peg-in-hole assembly. Our results show the difference between the use of DNN with one and with two force/torque sensors during the assembly task and demonstrate a 30% increase in the assembly success ratio when using a double force/torque sensor. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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27 pages, 9077 KiB

Open AccessArticle

Topological Navigation and Localization in Tunnels—Application to Autonomous Load-Haul-Dump Vehicles Operating in Underground Mines

by Mauricio Mascaró, Isao Parra-Tsunekawa, Carlos Tampier and Javier Ruiz-del-Solar

Appl. Sci. 2021, 11(14), 6547; https://doi.org/10.3390/app11146547 - 16 Jul 2021

Cited by 11 | Viewed by 3009

Abstract

Mobile robots are no longer used exclusively in research laboratories and indoor controlled environments, but are now also used in dynamic industrial environments, including outdoor sites. Mining is one industry where robots and autonomous vehicles are increasingly used to increase the safety of [...] Read more.

Mobile robots are no longer used exclusively in research laboratories and indoor controlled environments, but are now also used in dynamic industrial environments, including outdoor sites. Mining is one industry where robots and autonomous vehicles are increasingly used to increase the safety of the workers, as well as to augment the productivity, efficiency, and predictability of the processes. Since autonomous vehicles navigate inside tunnels in underground mines, this kind of navigation has different precision requirements than navigating in an open environment. When driving inside tunnels, it is not relevant to have accurate self-localization, but it is necessary for autonomous vehicles to be able to move safely through the tunnel and to make appropriate decisions at its intersections and access points in the tunnel. To address these needs, a topological navigation system for mining vehicles operating in tunnels is proposed and validated in this paper. This system was specially designed to be used by Load-Haul-Dump (LHD) vehicles, also known as scoop trams, operating in underground mines. In addition, a localization system, specifically designed to be used with the topological navigation system and its associated topological map, is also proposed. The proposed topological navigation and localization systems were validated using a commercial LHD during several months at a copper sub-level stoping mine located in the Coquimbo Region in the northern part of Chile. An important aspect to be addressed when working with heavy-duty machinery, such as LHDs, is the way in which automation systems are developed and tested. For this reason, the development and testing methodology, which includes the use of simulators, scale-models of LHDs, validation, and testing using a commercial LHD in test-fields, and its final validation in a mine, are described. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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16 pages, 5884 KiB

Open AccessArticle

Autonomous Mobile Robot Navigation in Sparse LiDAR Feature Environments

by Phuc Thanh-Thien Nguyen, Shao-Wei Yan, Jia-Fu Liao and Chung-Hsien Kuo

Appl. Sci. 2021, 11(13), 5963; https://doi.org/10.3390/app11135963 - 26 Jun 2021

Cited by 16 | Viewed by 3244

Abstract

In the industrial environment, Autonomous Guided Vehicles (AGVs) generally run on a planned route. Among trajectory-tracking algorithms for unmanned vehicles, the Pure Pursuit (PP) algorithm is prevalent in many real-world applications because of its simple and easy implementation. However, it is challenging to [...] Read more.

In the industrial environment, Autonomous Guided Vehicles (AGVs) generally run on a planned route. Among trajectory-tracking algorithms for unmanned vehicles, the Pure Pursuit (PP) algorithm is prevalent in many real-world applications because of its simple and easy implementation. However, it is challenging to decelerate the AGV’s moving speed when turning on a large curve path. Moreover, this paper addresses the kidnapped-robot problem occurring in spare LiDAR environments. This paper proposes an improved Pure Pursuit algorithm so that the AGV can predict the trajectory and decelerate for turning, thus increasing the accuracy of the path tracking. To solve the kidnapped-robot problem, we use a learning-based classifier to detect the repetitive pattern scenario (e.g., long corridor) regarding 2D LiDAR features for switching the localization system between Simultaneous Localization And Mapping (SLAM) method and Odometer method. As experimental results in practice, the improved Pure Pursuit algorithm can reduce the tracking error while performing more efficiently. Moreover, the learning-based localization selection strategy helps the robot navigation task achieve stable performance, with 36.25% in completion rate more than only using SLAM. The results demonstrate that the proposed method is feasible and reliable in actual conditions. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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18 pages, 3022 KiB

Open AccessArticle

Compliant Human–Robot Collaboration with Accurate Path-Tracking Ability for a Robot Manipulator

by Daniel Reyes-Uquillas and Tesheng Hsiao

Appl. Sci. 2021, 11(13), 5914; https://doi.org/10.3390/app11135914 - 25 Jun 2021

Cited by 4 | Viewed by 2394

Abstract

In this article, we aim to achieve manual guidance of a robot manipulator to perform tasks that require strict path following and would benefit from collaboration with a human to guide the motion. The robot can be used as a tool to increase [...] Read more.

In this article, we aim to achieve manual guidance of a robot manipulator to perform tasks that require strict path following and would benefit from collaboration with a human to guide the motion. The robot can be used as a tool to increase the accuracy of a human operator while remaining compliant with the human instructions. We propose a dual-loop control structure where the outer admittance control loop allows the robot to be compliant along a path considering the projection of the external force to the tangential-normal-binormal (TNB) frame associated with the path. The inner motion control loop is designed based on a modified sliding mode control (SMC) law. We evaluate the system behavior to forces applied from different directions to the end-effector of a 6-DOF industrial robot in a linear motion test. Next, a second test using a 3D path as a tracking task is conducted, where we specify three interaction types: free motion (FM), force-applied motion (FAM), and combined motion with virtual forces (CVF). Results show that the difference of root mean square error (RMSE) among the cases is less than 0.1 mm, which proves the feasibility of applying this method for various path-tracking applications in compliant human–robot collaboration. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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15 pages, 1918 KiB

Open AccessArticle

Leader-Follower Formation Control of Wheeled Mobile Robots without Attitude Measurements

by Jonathan Hirata-Acosta, Javier Pliego-Jiménez, César Cruz-Hernádez and Rigoberto Martínez-Clark

Appl. Sci. 2021, 11(12), 5639; https://doi.org/10.3390/app11125639 - 18 Jun 2021

Cited by 8 | Viewed by 2809

Abstract

The problem of leader-follower formation of a platoon of differential-drive wheeled mobile robots without using attitude measurements is addressed in this paper. Contrary to the position-distance approaches existing in the literature, the formation and collision avoidance is achieved by introducing a state-dependent delay [...] Read more.

The problem of leader-follower formation of a platoon of differential-drive wheeled mobile robots without using attitude measurements is addressed in this paper. Contrary to the position-distance approaches existing in the literature, the formation and collision avoidance is achieved by introducing a state-dependent delay in the desired trajectory. The delay is obtained as the output of a dynamical system and its magnitude will decrease/increase depending on the distance between the robots. To guarantee trajectory tracking and to overcome the lack of orientation measurements, an output feedback control and attitude observer are proposed based on the kinematic model of the robots. The attitude observer is designed directly on the special orthogonal group

S O (2)

and it can be used in open-loop schemes. The proposed control-observer scheme ensures asymptotic convergence of the tracking and observer errors. Finally, experimental results are presented to show the performance of the proposed approach. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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19 pages, 6148 KiB

Open AccessArticle

Dynamic Nonprehensile Manipulation of a Moving Object Using a Batting Primitive

by Hyun-Min Joe, Joonwoo Lee and Jun-Ho Oh

Appl. Sci. 2021, 11(9), 3920; https://doi.org/10.3390/app11093920 - 26 Apr 2021

Cited by 3 | Viewed by 2145

Abstract

To achieve human-level object manipulation capability, a robot must be able to handle objects not only with prehensile manipulation, such as pick-and-place, but also with nonprehensile manipulation. To study nonprehensile manipulation, we studied robotic batting, a primitive form of nonprehensile manipulation. Batting is [...] Read more.

To achieve human-level object manipulation capability, a robot must be able to handle objects not only with prehensile manipulation, such as pick-and-place, but also with nonprehensile manipulation. To study nonprehensile manipulation, we studied robotic batting, a primitive form of nonprehensile manipulation. Batting is a challenging research area because it requires sophisticated and fast manipulation of moving objects and requires considerable improvement. In this paper, we designed a batting system for dynamic manipulation of a moving ball and proposed several algorithms to improve the task performance of batting. To improve the recognition accuracy of the ball, we proposed a circle-fitting method that complements color segmentation. This method enabled robust ball recognition against illumination. To accurately estimate the trajectory of the recognized ball, weighted least-squares regression considering the accuracy according to the distance of a stereo vision sensor was used for trajectory estimation, which enabled more accurate and faster trajectory estimation of the ball. Further, we analyzed the factors influencing the success rate of ball direction control and applied a constant posture control method to improve the success rate. Through the proposed methods, the ball direction control performance is improved. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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16 pages, 732 KiB

Open AccessArticle

The Spherical Inverted Pendulum: Exact Solutions of Gait and Foot Placement Estimation Based on Symbolic Computation

by Giuseppe Menga

Appl. Sci. 2021, 11(4), 1588; https://doi.org/10.3390/app11041588 - 10 Feb 2021

Cited by 3 | Viewed by 1821

Abstract

The gait and the Foot Placement Estimation (FPE) has recently been extended to 3-D spaces by adopting a specific form of a spherical inverted pendulum (SIP). The approach is very attractive, as it does not involve dynamics, but it is based solely on [...] Read more.

The gait and the Foot Placement Estimation (FPE) has recently been extended to 3-D spaces by adopting a specific form of a spherical inverted pendulum (SIP). The approach is very attractive, as it does not involve dynamics, but it is based solely on energies and momenta, however the authors (DeHart et al.) introduced several questionable approximations, in order to reach a manageable solution. The scope of the present paper is to revisit this spherical inverted pendulum applied to biped walking, offering an exact solution to the gait and the FPE by using symbolic computation. This is facilitated by exploiting the Kane’s approach to dynamical modelling, and his software environment for symbolic manipulation, called Autolev. It generates explicit formulas describing the energies and angular momenta before/after the impact, along with the mechanics of the impact. As the resulting equations, function of (measurable) angular positions and velocities, are very compact, embedded in a numerical nonlinear solver, are suitable to be implemented in real time and used in practice to control biped robots or lower limb exoskeletons. The two main contributions of the paper are: the recovery of the balance by stepping, in the presence of a push in an arbitrary direction and omnidirectional walking. In this last respect, this specific form of SIP emphasizes the expenditure of energy in the walk. For the first time, at our knowledge, the walk of the SIP, based on energy, has been compared to the simulation of a 12 degrees of freedom biped robot tracking preview signals using the Zero Moment Point (ZMP) of the Linear Inverted Pendulum (LIPM). This quantitatively shows the inefficiency, in terms of energy, of the ZMP-based walk, and the gain due to the recovery of the collision of the flying foot. Similarity in the sagittal plane and differences in the frontal plane of the center of mass trajectories of the two approaches are shown, to open the road to an integration of fully actuated and underactuated controls, for an efficient full-dimensional robot gait to be developed in a future paper. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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19 pages, 2777 KiB

Open AccessArticle

Automated Parking Space Allocation during Transition with both Human-Operated and Autonomous Vehicles

by Mingkang Wu, Haobin Jiang and Chin-An Tan

Appl. Sci. 2021, 11(2), 855; https://doi.org/10.3390/app11020855 - 18 Jan 2021

Cited by 9 | Viewed by 2877

Abstract

As fully automated valet parking systems are being developed, there is a transition period during which both human-operated vehicles (HVs) and autonomous vehicles (AVs) are present in the same parking infrastructure. This paper addresses the problem of allocation of a parking space to [...] Read more.

As fully automated valet parking systems are being developed, there is a transition period during which both human-operated vehicles (HVs) and autonomous vehicles (AVs) are present in the same parking infrastructure. This paper addresses the problem of allocation of a parking space to an AV without conflicting with the parking space chosen by the driver of a HV. A comprehensive assessment of the key factors that affect the preference and choice of a driver for a parking space is established by the fuzzy comprehensive method. The algorithm then generates a ranking order of the available parking spaces to first predict the driver’s choice of parking space and then allocate a space for the AV. The Floyd algorithm of shortest distance is used to determine the route for the AV to reach its parking space. The proposed allocation and search algorithm is applied to the examples of a parking lot with three designed scenarios. It is shown that parking space can be reasonably allocated for AVs. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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Review

Jump to: Editorial, Research

25 pages, 1797 KiB

Open AccessReview

Advanced Applications of Industrial Robotics: New Trends and Possibilities

by Andrius Dzedzickis, Jurga Subačiūtė-Žemaitienė, Ernestas Šutinys, Urtė Samukaitė-Bubnienė and Vytautas Bučinskas

Appl. Sci. 2022, 12(1), 135; https://doi.org/10.3390/app12010135 - 23 Dec 2021

Cited by 48 | Viewed by 16182

Abstract

This review is dedicated to the advanced applications of robotic technologies in the industrial field. Robotic solutions in areas with non-intensive applications are presented, and their implementations are analysed. We also provide an overview of survey publications and technical reports, classified by application [...] Read more.

This review is dedicated to the advanced applications of robotic technologies in the industrial field. Robotic solutions in areas with non-intensive applications are presented, and their implementations are analysed. We also provide an overview of survey publications and technical reports, classified by application criteria, and the development of the structure of existing solutions, and identify recent research gaps. The analysis results reveal the background to the existing obstacles and problems. These issues relate to the areas of psychology, human nature, special artificial intelligence (AI) implementation, and the robot-oriented object design paradigm. Analysis of robot applications shows that the existing emerging applications in robotics face technical and psychological obstacles. The results of this review revealed four directions of required advancement in robotics: development of intelligent companions; improved implementation of AI-based solutions; robot-oriented design of objects; and psychological solutions for robot–human collaboration. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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22 pages, 14010 KiB

Open AccessReview

Service Robots: Trends and Technology

by Juan Angel Gonzalez-Aguirre, Ricardo Osorio-Oliveros, Karen L. Rodríguez-Hernández, Javier Lizárraga-Iturralde, Rubén Morales Menendez, Ricardo A. Ramírez-Mendoza, Mauricio Adolfo Ramírez-Moreno and Jorge de Jesús Lozoya-Santos

Appl. Sci. 2021, 11(22), 10702; https://doi.org/10.3390/app112210702 - 12 Nov 2021

Cited by 52 | Viewed by 12285

Abstract

The 2021 sales volume in the market of service robots is attractive. Expert reports from the International Federation of Robotics confirm 27 billion USD in total market share. Moreover, the number of new startups with the denomination of service robots nowadays constitutes 29% [...] Read more.

The 2021 sales volume in the market of service robots is attractive. Expert reports from the International Federation of Robotics confirm 27 billion USD in total market share. Moreover, the number of new startups with the denomination of service robots nowadays constitutes 29% of the total amount of robotic companies recorded in the United States. Those data, among other similar figures, remark the need for formal development in the service robots area, including knowledge transfer and literature reviews. Furthermore, the COVID-19 spread accelerated business units and some research groups to invest time and effort into the field of service robotics. Therefore, this research work intends to contribute to the formalization of service robots as an area of robotics, presenting a systematic review of scientific literature. First, a definition of service robots according to fundamental ontology is provided, followed by a detailed review covering technological applications; state-of-the-art, commercial technology; and application cases indexed on the consulted databases. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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34 pages, 7035 KiB

Open AccessReview

Research Progress on Synergistic Technologies of Agricultural Multi-Robots

by Wenju Mao, Zhijie Liu, Heng Liu, Fuzeng Yang and Meirong Wang

Appl. Sci. 2021, 11(4), 1448; https://doi.org/10.3390/app11041448 - 05 Feb 2021

Cited by 26 | Viewed by 3978

Abstract

Multi-robots have shown good application prospects in agricultural production. Studying the synergistic technologies of agricultural multi-robots can not only improve the efficiency of the overall robot system and meet the needs of precision farming but also solve the problems of decreasing effective labor [...] Read more.

Multi-robots have shown good application prospects in agricultural production. Studying the synergistic technologies of agricultural multi-robots can not only improve the efficiency of the overall robot system and meet the needs of precision farming but also solve the problems of decreasing effective labor supply and increasing labor costs in agriculture. Therefore, starting from the point of view of an agricultural multiple robot system architectures, this paper reviews the representative research results of five synergistic technologies of agricultural multi-robots in recent years, namely, environment perception, task allocation, path planning, formation control, and communication, and summarizes the technological progress and development characteristics of these five technologies. Finally, because of these development characteristics, it is shown that the trends and research focus for agricultural multi-robots are to optimize the existing technologies and apply them to a variety of agricultural multi-robots, such as building a hybrid architecture of multi-robot systems, SLAM (simultaneous localization and mapping), cooperation learning of robots, hybrid path planning and formation reconstruction. While synergistic technologies of agricultural multi-robots are extremely challenging in production, in combination with previous research results for real agricultural multi-robots and social development demand, we conclude that it is realistic to expect automated multi-robot systems in the future. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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18 pages, 2577 KiB

Open AccessReview

6D Pose Estimation of Objects: Recent Technologies and Challenges

by Zaixing He, Wuxi Feng, Xinyue Zhao and Yongfeng Lv

Appl. Sci. 2021, 11(1), 228; https://doi.org/10.3390/app11010228 - 29 Dec 2020

Cited by 30 | Viewed by 7910

Abstract

6D pose estimation is a common and important task in industry. Obtaining the 6D pose of objects is the basis for many other functions such as bin picking, autopilot, etc. Therefore, many corresponding studies have been made in order to improve the accuracy [...] Read more.

6D pose estimation is a common and important task in industry. Obtaining the 6D pose of objects is the basis for many other functions such as bin picking, autopilot, etc. Therefore, many corresponding studies have been made in order to improve the accuracy and enlarge the range of application of various approaches. After several years of development, the methods of 6D pose estimation have been enriched and improved. Although some predecessors have analyzed the methods and summarized them in detailed, there have been many new breakthroughs in recent years. To understand 6D pose estimation better, this paper will make a new and more detailed review of 6D pose estimation. We divided these methods into two approaches: Learning-based approaches and non-learning-based approaches, including 2D-information-based approach and 3D-information-based approach. Additionally, we introduce the challenges that exist in 6D pose estimation. Finally, we compare the performance of different methods qualitatively and discuss the future development trends of the 6D pose estimation. Full article

(This article belongs to the Special Issue Trends and Challenges in Robotic Applications)

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