Recent Advances in Autonomous Systems and Robotics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 24582
Special Issue Editors
Interests: intelligence manufacturing and control
Special Issues, Collections and Topics in MDPI journals
Interests: dynamics and control; data processing; robotics
Interests: pose accurate perception; autonomous navigation
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; robotics
Special Issue Information
Dear Colleagues,
To cope with the non-programmed or non-preset situation, the autonomous technology can use multi-source sensors and complex software to make systems without or limited communication for a long time, and the systems can automatically adjust in an unknown environment, independently complete tasks, and maintain good performance. Autonomous systems and robotics are interdisciplinary fields involving real-time detection, information processing, comprehensive analysis, intelligent judgment, robust control, etc. With the continuous improvement of technical complexity, the possibility of system failure, vulnerability, and overall afunction will also increase. Most applications still need the combination of human and autonomous systems to complete different tasks, so intelligent and unmanned systems are still challenging in current research.
The aim of this Special Issue is to celebrate the recent advances in the autonomous systems and robotics, and promote the exchange and development of modern technologies, methods, and theories. We welcome authors to submit original research papers, perspectives, reviews, and mini-reviews. Areas to be covered in this Special Issue may include, but are not limited to: machine vision; machine learning and deep learning; artificial intelligence technology; fault detection and diagnosis; and intelligent robots.
Prof. Dr. Xinhua Liu
Dr. Jun Wu
Dr. Lei Si
Dr. Xiaoyu Zou
Dr. Dezheng Hua
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- artificial intelligence
- intelligent manufacturing
- theoretical model
- data processing
- performance optimization
- experimental analysis
- robotics
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