2022 International Symposium on Sensor Technology and Control(ISSTC 2022)

Keynote Speakers


Prof. Huolin Huang, Dalian University of Technology

Huolin Huang received a B.Sc. degree in physics and a Ph.D. degree in condensed matter physics both from Xiamen University, Xiamen, China, in 2006 and 2011, respectively. From 2011 to the end of 2014, he worked as a Research Fellow with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore. In 2014, he joined the Dalian University of Technology, Dalian, China, where he is currently a full Professor in the School of Optoelectronic Engineering and Instrumentation Science. His current research interests include the growth and fabrication of wide-bandgap semiconductor power devices and sensors. 


Prof. Dahu Zhu, Wuhan University of Technology, China

Dahu Zhu is a professor and doctoral director at the Wuhan University of Technology, China. He received a Ph.D. in Mechanical Manufacturing and Automation from Donghua University in 2011 and then conducted his postdoctoral research at the State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology from 2011 to 2013. His research interests include robotic machining, digital manufacturing, and machine vision. He published more than 40 papers, including 2 ESI highly cited papers, and obtained more than 20 invention patents.

Title: Robotic grinding of complex components: A step towards efficient and intelligent machining – challenges, solutions, and applications

Abstract: Robotic grinding is considered as an alternative towards the efficient and intelligent machining of complex components by virtue of its flexibility, intelligence and cost efficiency, particularly in comparison with the current mainstream manufacturing modes. The advances in robotic grinding during the past one to two decades present two extremes: one aims to solve the problem of precision machining of small-scale complex surfaces, the other emphasizes on the efficient machining of large-scale complex structures. To achieve efficient and intelligent grinding of these two different types of complex components, researchers have attempted to conquer key technologies and develop relevant machining system. In this speech, I will present a systematic, critical, and comprehensively review of all aspects of robotic grinding of complex components, especially focusing on three research objectives of challenges, solutions, and applications.