金沙集团1755app下载|首頁|歡迎您

首页
学术活动 +
当前位置: 首页 >> 学术活动 >> 正文
学术报告《Autonomous Mobile Robot Localization: Sensing and Estimation》
日期:2022-04-13 点击:

报告时间:2022416日(周六)16:00-17:30

报告形式:腾讯会议(会议号:983-476-984)

报告人: Hamid Reza Karimi

报告人简介:

Hamid Reza Karimi is currently Professor of Applied Mechanics with the Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy. His original research and development achievements span a broad spectrum within the topic of control systems, mechatronics, intelligent systems, and fault diagnosis with applications such as vehicles, robotics and manufacturing systems.

Prof. Karimi is a Member of Academia Europa, Distinguished Fellow of the International Institute of Acoustics and Vibration (IIAV), Fellow of The International Society for Condition Monitoring (ISCM), Member of Agder Academy of Science and Letters and also a member of the IFAC Technical Committee on Mechatronic Systems, the IFAC Technical Committee on Robust Control, and the IFAC Technical Committee on Automotive Control. He is serving as Chief Editor, Subject Editor, Technical Editor or Associate Editor for some International Journals and Book Series Editor for Springer, CRC Press and Elsevier.

Prof. Karimi has been awarded as the 2016-2021 Web of Science Highly Cited Researcher in Engineering, the 2020 IEEE Transactions on Circuits and Systems Guillemin-Cauer Best Paper Award, August-Wilhelm-Scheer Visiting Professorship Award, JSPS (Japan Society for the Promotion of Science) Research Award, and Alexander-von-Humboldt-Stiftung research Award, for instance. He has also participated as General Chair, keynote/plenary speaker, distinguished speaker or program chair for several international conferences in the areas of Control Systems, Robotics and Mechatronics.

报告内容简介:

The objective of this talk is to present some state-of-the-arts as well as recent results within the context of localization problem in autonomous robotics. In particular, the problem of mobile robot localization with measurement-outlier-resistant under network as well as fusion estimation for localization problem under multiple energy harvesting sensors are addressed. Then, the talk is concluded by some concluding remarks.


金沙集团1755app下载

2022年4月13日

0335-8057031

0335-8074783

mec@ysu.edu.cn

金沙集团1755app下载公众号
国家冷轧中心公众号
燕大液压公众号
燕大锻压公众号
燕大机电公众号