Collection

Topical collection on Robotics Vision and Intelligent Control, label V

Submission status
Closed
Robot vision plays the role as eyes of robotic systems. It is a sophisticated technology that helps a robot, usually an automated robot, better perceive the surroundings, identify objects, and navigate before or during the execution of the robots. It is our desire to use robot vision that is comparable to human eyes, for the solution of perception in robotic systems, which, in no doubt, would largely reduce the cost of robots. And there is still a lot to do to achieve this. Apart from that, intelligent control plays the role as nerve center of robotic systems. Evidently, to better serve humans, robots should be able to complete preset tasks in unstructured natural environments, with higher speed, higher precision and higher efficiency. In order to accomplish this goal, the intelligent control technology of the robotic systems urgently needs further research, such as to control the robot by leverage of neural network, reinforcement learning and deep learning. This, as well as, is the frontier of the robotics technology. This special issue aims to present state-of-the-art research related to robot vision and intelligent control in advanced robotic systems that can further improve the speed of optimizing vision system, improve the accuracy of intelligent vision processing system, the accuracy, flexibility and efficiency of the robot execution, to better serve the intelligent systems such as autonomous driving vehicles, intelligent transportation and robotic systems such as mobile robots, humanoid robots, exoskeleton robots, etc. Topics of interest include, but are not limited to: Visual perception Robotics vision Vision-based measurement Path and trajectory planning Machining robot control Visual serving Perception-based control Multi-robot cooperative control Human robot interaction control Humanoid robot Intelligent transportation Exoskeleton robot Medical image processing Medical visual navigation The goal of this special issue is to approach the problem of robotics vision and intelligent control from a holistic perspective where theory and demonstrated experimental evaluation go hand in hand.

Editors

  • Yaonan Wang Yaonan Wang , 

    Yaonan Wang

    College of Electrical and Information Engineering, Hunan University, Hunan, China

  • Fei-Yue Wang Fei-Yue Wang , 

    Fei-Yue Wang

    State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

  • Hairong Dong Hairong Dong , 

    Hairong Dong

    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

  • Jason Gu Jason Gu  &

    Jason Gu

    Electrical and Computer Engineering, Dalhousie University, Canada

  • Xinyu Wu Xinyu Wu

    Xinyu Wu

    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Articles (17 in this collection)