Hamid Reza Karimi教授学术报告
发布人:刘波  发布时间:2020-12-03   浏览次数:10

报告题目:Motion Control of Surgical Robotics Systems

  人: Hamid Reza Karimi教授

        间: 2020127 15:30(星期一下午)

        点: 腾讯会议 ID: 142 726 343

主办单位:电气工程与自动化学院、计算智能与信号处理教育部重点实验室

 

                      欢迎各位老师、同学届时前往!

  

  

                                                                                             科学技术处、电气工程与自动化学院

                                                                                                                                      2020123

 

专家简介:Hamid Reza Karimi is currently Professor of Applied Mechanics with the Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy. His current research interests include control systems and mechatronics with applications to automotive control systems, vibration systems and wind energy.

Prof. Karimi is currently the (Section) Editor-in-Chief of seven journals, such as Journal of Cyber-Physical Systems, IET Journal of Electronics Letters, etc. He is also subject editor or associate editor of more than ten journals, such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE/ASME Transactions on Mechatronics, etc. Prof. Karimi has been awarded as the 2016-2020 Web of Science Highly Cited Researcher in Engineering and also received the 2020 IEEE Transactions on Circuits and Systems Guillemin-Cauer Best Paper Award.

 

报告简介: To improve the quality of life, utilization of commercial industrial robots have been successfully adopted and further developed in precise automation processes for a variety of applications, especially robotic assisted systems in surgery operation. In general, a robotic surgery implementation is at the need of a well-developed control technology and precision of the surgical tools. Hence, from both theoretical and practical aspects the problem of surgical robotics control is a challenging topic. The objective of this talk is to present some challenges and recent results on both classical and intelligent control of redundant surgical robot manipulators. Specifically, learning algorithms and optimization techniques under remote center of motion constraints are presented and then followed by model development for the surgical operation. The talk will be concluded with some concluding remarks on both technical and practical aspects of control schemes for surgical robotic systems.