Special Session VI: “Neural Control, Advanced Learning and Intelligent Robotics”
Dongsheng Guo, Hainan University
Weibing Li, Sun Yat-sen University
Hao Tang, Hainan University
In recent years, different types of robots, such as mobile robots, dual-arm robots, and parallel robots, have been designed and widely used in engineering fields. With regard to these robots, the motion planning and intelligent control are fundamental yet challenging issues. Many effective neural controllers and learning systems have been proposed and reported, which can significantly increase the efficiency and intelligence level of robots in practice. However, there are still a great number of challenges to be solved.
The objective of this session is to solicit the newest research on the design of neural controllers and learning systems for robots and to promote the development level of intelligent robots. We invite the authors to submit their original research articles in motion planning and intelligent control of robots. The topics include but not limited to kinematics and dynamics modelling, high-precision planning, robust control, optimal control, adaptive control, finite-time control, and other intelligent control methods and learning systems for improving intelligence of robots.
We invite researchers to submit their innovative research results in this field via Online Submission System and choose Special Session VI: "Neural Control, Advanced Learning and Intelligent Robotics".