Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.9
3.7
Journals
Robotics
Special Issues
New Trends in Robotics and Mechatronic Technologies
share announcement

New Trends in Robotics and Mechatronic Technologies

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Intelligent Robots and Mechatronics".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 6977

Special Issue Editor

Dr. Florian Ion Tiberiu Petrescu

E-Mail Website
Guest Editor
1. Theory of Mechanisms and Robots Department, Faculty of Industrial Engineering and Robotics, University POLITEHNICA of Bucharest, Splaiul Independentei Street 313, 060042 Bucharest, Romania
2. Nanomaterials Research Group, Department of Natural Sciences and Technology, Division of Natural Sciences, Technology and Environment, Universidad Ana G. Méndez-Gurabo Campus, Gurabo, PR 00778, USA
Interests: machines; bioengineering; nuclear power; materials science; aerospace
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the intelligence wave of the 21st century, the mission to create intelligent robots and equipment with different structures and functions continues to be accomplished. Research on mechanisms and robotics is mainly composed of five parts: structure design, kinematics, dynamics, sensing and control, and system design theory and methods. With the rapidly increasing complexity of tasks and environments, greater demands are placed on the adaptability and interaction capabilities of robots. The development trend is to deeply integrate with information, computers, materials, measurement, production life sciences, etc., to achieve intelligent and high-quality equipment.

This Special Issue aims to collect recent theoretical and technical achievements in interdisciplinary research on mechanisms and robotics. Topics of interest include (but are not limited to):

  • Robotics;
  • Mechatronics;
  • Dynamics;
  • Automations;
  • Artificial intelligence, algorithms, and programs;
  • Drones;
  • Aerospace;
  • Command and control;
  • Shareholders;
  • DoF robot mechanisms;
  • Parallel mechanisms;
  • Serial–parallel mechanisms;
  • Bio-inspired mechanisms;
  • Medical and rehabilitation robots;
  • Exploratory robots;
  • New materials in robotics;
  • New technologies in robotics.

Prof. Dr. Florian Ion Tiberiu Petrescu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Robotics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • robotics
  • mechatronics
  • dynamics
  • automations
  • artificial intelligence, algorithms and programs
  • drones
  • aerospace
  • command and control
  • shareholders
  • DoF robot mechanisms
  • parallel mechanisms
  • serial-parallel mechanisms
  • bio-inspired mechanisms
  • medical and rehabilitation robots
  • exploratory robots
  • new materials in robotics
  • new technologies in robotics

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

16 pages, 580 KiB  
Article
Adaptive Backstepping Integral Sliding Mode Control of a MIMO Separately Excited DC Motor
by Roohma Afifa, Sadia Ali, Mahmood Pervaiz and Jamshed Iqbal
Robotics 2023, 12(4), 105; https://doi.org/10.3390/robotics12040105 - 16 Jul 2023
Cited by 17 | Viewed by 1506
Abstract
This research proposes a robust nonlinear hybrid control approach to the speed control of a multi-input-and-multi-output separately excited DC motor (SEDCM). The motor that was under consideration experienced parametric uncertainties and load disturbances in the weak field region. The proposed technique aims to [...] Read more.
This research proposes a robust nonlinear hybrid control approach to the speed control of a multi-input-and-multi-output separately excited DC motor (SEDCM). The motor that was under consideration experienced parametric uncertainties and load disturbances in the weak field region. The proposed technique aims to merge the benefits of adaptive backstepping (AB) and integral sliding mode control (ISMC) to enhance the overall system’s robustness. The unknown parameters with load disturbances are estimated using an adaptation law. These estimated parameters are incorporated into the controller design, to achieve a highly robust controller. The theoretical stability of the system is proved using the Lyapunov stability criteria. The effectiveness of the proposed AB–ISMC was demonstrated by simulation, to track the reference speed under parametric uncertainties and load disturbances. The control performance of the proposed technique was compared to that of feedback linearization (FBL), conventional sliding mode control (SMC), and AB control laws without and with the adaptation law. Regression parameters, such as integral square error, integral absolute error, and integral time absolute error, were calculated to quantitatively analyze the tracking performance and robustness of the implemented nonlinear control techniques. The simulation results demonstrated that the proposed controller could accurately track the reference speed and exhibited robustness, with steady-state error accuracy. Moreover, AB–ISMC overperformed, compared to the FBL, SMC, AB controller without adaptation law and AB controller with adaptation law, in reducing the settling time by factors of 27%, 67%, 23%, and 21%, respectively, thus highlighting the superior performance of the proposed controller. Full article
(This article belongs to the Special Issue New Trends in Robotics and Mechatronic Technologies)
►▼ Show Figures

Figure 1

21 pages, 9773 KiB  
Article
Computational Systems Design of Low-Cost Lightweight Robots
by Akhil Sathuluri, Anand Vazhapilli Sureshbabu, Jintin Frank, Maximilian Amm and Markus Zimmermann
Robotics 2023, 12(4), 91; https://doi.org/10.3390/robotics12040091 - 25 Jun 2023
Viewed by 1870
Abstract
With the increased demand for customisation, developing task-specific robots for industrial and personal applications has become essential. Collaborative robots are often preferred over conventional industrial robots in human-centred production environments. However, fixed architecture robots lack the ability to adapt to changing user demands, [...] Read more.
With the increased demand for customisation, developing task-specific robots for industrial and personal applications has become essential. Collaborative robots are often preferred over conventional industrial robots in human-centred production environments. However, fixed architecture robots lack the ability to adapt to changing user demands, while modular, reconfigurable robots provide a quick and affordable alternative. Standardised robot modules often derive their characteristics from conventional industrial robots, making them expensive and bulky and potentially limiting their wider adoption. To address this issue, the current work proposes a top-down multidisciplinary computational design strategy emphasising the low cost and lightweight attributes of modular robots within two consecutive optimisation problems. The first step employs an informed search strategy to explore the design space of robot modules to identify a low-cost robot architecture and controller. The second step employs dynamics-informed structural optimisation to reduce the robot’s net weight. The proposed methodology is demonstrated on a set of example requirements, illustrating that (1) the robot modules allow exploring non-intuitive robot architectures, (2) the structural mass of the resulting robot is 16 % lower compared to a robot designed using conventional aluminium tubes, and (3) the designed modules ensure the physical feasibility of the robots produced. Full article
(This article belongs to the Special Issue New Trends in Robotics and Mechatronic Technologies)
►▼ Show Figures

Figure 1

Review

Jump to: Research

25 pages, 1463 KiB  
Review
Optimizing Exoskeleton Design with Evolutionary Computation: An Intensive Survey
by Fabio Stroppa, Aleyna Soylemez, Huseyin Taner Yuksel, Baris Akbas and Mine Sarac
Robotics 2023, 12(4), 106; https://doi.org/10.3390/robotics12040106 - 17 Jul 2023
Cited by 2 | Viewed by 2421
Abstract
Exoskeleton devices are designed for applications such as rehabilitation, assistance, and haptics. Due to the nature of physical human–machine interaction, designing and operating these devices is quite challenging. Optimization methods lessen the severity of these challenges and help designers develop the device they [...] Read more.
Exoskeleton devices are designed for applications such as rehabilitation, assistance, and haptics. Due to the nature of physical human–machine interaction, designing and operating these devices is quite challenging. Optimization methods lessen the severity of these challenges and help designers develop the device they need. In this paper, we present an extensive and systematic literature search on the optimization methods used for the mechanical design of exoskeletons. We completed the search in the IEEE, ACM, and MDPI databases between 2017 and 2023 using the keywords “exoskeleton”, “design”, and “optimization”. We categorized our findings in terms of which limb (i.e., hand, wrist, arm, or leg) and application (assistive, rehabilitation, or haptic) the exoskeleton was designed for, the optimization metrics (force transmission, workspace, size, and adjustability/calibration), and the optimization method (categorized as evolutionary computation or non-evolutionary computation methods). We discuss our observations with respect to how the optimization methods have been implemented based on our findings. We conclude our paper with suggestions for future research. Full article
(This article belongs to the Special Issue New Trends in Robotics and Mechatronic Technologies)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop