Advanced Sensing and Control Technologies for Mobile and Collaborative Robotic Systems

Dear Colleagues,

Recent technological developments have led to the widespread use of mobile and collaborative robotic systems, in a large range of applications in transportation, manufacturing, self-driving automobiles, commercial and domestic services, surveillance and medical care, and planetary surface and subsurface exploration, providing an emerging market with great potential and a significant impact on society. Research on mobile and collaborative robotics systems is multidisciplinary, covering control engineering, computer science, mechatronic engineering, and biomedical engineering, and including many technical aspects, such as perception, control, computer vision, artificial intelligence, human–robot interfaces, and sensor technologies. While existing technologies are developing rapidly, great challenges and issues in mobile robotic systems research still exist in: 1) mechanisms and actuation design, 2) system modeling, 3) robust perception, 4) planning and control, 5) human–robot interaction. These may involve more technical aspects of terramechanics modeling, computer vision, sensor fusion, mapping, task and motion planning, robust/adaptive control, and so forth. To address these challenges, more advanced technologies in sensing and actuation are essential, which will enable future mobile robots to operate effectively, collaboratively, and autonomously in a greater range of real-world environments.

This Special Issue intends to provide a platform to gather the recent developments in mobile and collaborative robotic systems and the associated research, as well as to advance studies on the fundamental problems observed in collaborative and mobile robots also in healthcare applications. We welcome state-of-the-art research papers on mobile and collaborative robotic systems from both research and application perspectives. Various multidisciplinary approaches or integrative contributions, including sensing, perception, motion control, navigation (also inside the human body), learning and adaptation, fault tolerance, filtering, teleoperation, and bio-inspired robots, are also welcome in this Special Issue. 

Prof. Dr. Charlie Yang
Prof. Dr. Giancarlo Ferrigno
Guest Editors

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