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Inventions
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Selected Papers from The 11th International Conference on Advanced Robotics...
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Selected Papers from The 11th International Conference on Advanced Robotics and Intelligent Systems (ARIS 2023)

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Design, Modeling and Computing Methods".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 3260

Special Issue Editors

Prof. Dr. Po Ting Lin

E-Mail Website
Guest Editor
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
Interests: design optimization; machine vision; industrial robots; human-robot collaboration; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Pei-Chun Lin

E-Mail Website
Guest Editor
Department of Mechanical Engineering, National Taiwan University, Taipei 106216, Taiwan
Interests: bio-inspired design; mechanical design; mechatronic systems; sensor applications; system dynamics; modeling; control; system integration; gait analysis; locomotion; bio-materials
Prof. Dr. Shun-Feng Su

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
Interests: neural networks; fuzzy modeling; machine learning; virtual reality simulation; intelligent transportation systems
Prof. Dr. Chao-Lung Yang

E-Mail Website
Guest Editor
Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
Interests: data mining; big data analytics; machine learning; Industry 4.0 process improvemen; AI human action recognition; social network analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is focused on post-conference full journal paper publications for technical and research work presented at The 11th International Conference on Advanced Robotics and Intelligent Systems (ARIS 2023). We would like to invite the authors of the conference’s best papers and the authors who present novel and original research and developments in the conference to contribute to this Special Issue, in order to disseminate and share recent progress, research and development results in the general areas within the fields of advanced robotics and intelligent systems. Potential topics include, but are not limited to, the following items:

  • Applications of robotics and industry 4.0;
  • Brain–computer interface and computational motor control;
  • Human–machine interaction;
  • Intelligent autonomous mobile robots;
  • Optimization and sensing;
  • Robotic arm and joint modeling, control, and sensing;
  • Robotic athlete;
  • Robotics and mechatronics;
  • Systematic refinements in automation;
  • Smart machine and manufacturing;
  • Smart systems and its applications;
  • Tech-enabled services and applications of intelligent systems.

Prof. Dr. Po Ting Lin
Prof. Dr. Pei-Chun Lin
Prof. Dr. Shun-Feng Su
Prof. Dr. Chao-Lung Yang
Guest Editors

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. Inventions is an international peer-reviewed open access semimonthly 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
  • intelligent systems
  • smart machine
  • sensor
  • actuator
  • human–machine interaction
  • artificial intelligence

Published Papers (2 papers)

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Research

16 pages, 4972 KiB  
Article
Real-Time Object Localization Using a Fuzzy Controller for a Vision-Based Drone
by Ping-Sheng Wang, Chien-Hung Lin and Cheng-Ta Chuang
Inventions 2024, 9(1), 14; https://doi.org/10.3390/inventions9010014 - 12 Jan 2024
Viewed by 1310
Abstract
This study proposes a drone system with visual identification and tracking capabilities to address the issue of limited communication bandwidth for drones. This system can lock onto a target during flight and transmit its simple features to the ground station, thereby reducing communication [...] Read more.
This study proposes a drone system with visual identification and tracking capabilities to address the issue of limited communication bandwidth for drones. This system can lock onto a target during flight and transmit its simple features to the ground station, thereby reducing communication bandwidth demands. RealFlight is used as the simulation environment to validate the proposed drone algorithm. The core components of the system include DeepSORT and MobileNet lightweight models for target tracking. The designed fuzzy controller enables the system to adjust the drone’s motors, gradually moving the locked target to the center of the frame and maintaining continuous tracking. Additionally, this study introduces channel and spatial reliability tracking (CSRT) switching from multi-object to single-object tracking and multithreading technology to enhance the system’s execution speed. The experimental results demonstrate that the system can accurately adjust the target to the frame’s center within approximately 1.5 s, maintaining precision within ±0.5 degrees. On the Jetson Xavier NX embedded platform, the average frame rate (FPS) for the multi-object tracker was only 1.37, with a standard deviation of 1.05. In contrast, the single-object tracker CSRT exhibited a significant improvement, achieving an average FPS of 9.77 with a standard deviation of 1.86. This study provides an effective solution for visual tracking in drone systems that is efficient and conserves communication bandwidth. The validation of the embedded platform highlighted its practicality and performance. Full article
(This article belongs to the Special Issue Selected Papers from The 11th International Conference on Advanced Robotics and Intelligent Systems (ARIS 2023))
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23 pages, 5947 KiB  
Article
Optimization of Autoclave Reactors to Improve Bearing Life Using the Taguchi Method and the Response Surface Methodology
by Farghani Fariz, Brijesh Patel, Hsien-Cheng Chiu, Shih-Jie Pan, Cheng-Liang Chen, Hao-Yeh Lee and Po Ting Lin
Inventions 2023, 8(6), 144; https://doi.org/10.3390/inventions8060144 - 10 Nov 2023
Cited by 2 | Viewed by 1350
Abstract
Plastic pervasiveness in daily life has increased in tandem with population growth. Ethylene–vinyl acetate (EVA) is emerging as a popular compound for manufacturing plastic, which is obtained from ethylene and vinyl acetate synthesis. EVA is produced using autoclave reactors, which often encounter bearing [...] Read more.
Plastic pervasiveness in daily life has increased in tandem with population growth. Ethylene–vinyl acetate (EVA) is emerging as a popular compound for manufacturing plastic, which is obtained from ethylene and vinyl acetate synthesis. EVA is produced using autoclave reactors, which often encounter bearing damage under specific operating conditions. This research aims to optimize the parameters in autoclave reactors to enhance bearing life. The study focuses on two crucial factors: the number of impellers and the temperature, with bearing life as the response variable. Simulations using finite-element analysis were conducted to obtain the fatigue life of bearings and validated using real-time company data stating the damage of bearings within 80 days. The optimization process employed the Taguchi method (TM) and the response surface methodology (RSM). A comparison of these techniques revealed that temperature had the most significant influence on the response. Interestingly, both methods yielded the same optimal parameters: seven impellers and a temperature of 150 °C. The simulation results using these optimized parameters demonstrated a noteworthy 3.095% increase in bearing life compared to the initial design. The RSM outperformed the Taguchi method in accurately predicting response values with minimum prediction error under optimal conditions. Full article
(This article belongs to the Special Issue Selected Papers from The 11th International Conference on Advanced Robotics and Intelligent Systems (ARIS 2023))
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