Keynote Speaker
Prof. You-Fu Li (IEEE Fellow)
City University of Hong Kong, China
Biography: You-Fu Li received the PhD degree in robotics from the Department of Engineering Science, University of Oxford in 1993. From 1993 to 1995 he was a research staff in the Department of Computer Science at the University of Wales, Aberystwyth, UK. He joined City University of Hong Kong in 1995 and is currently professor in the Department of Mechanical Engineering. His research interests include robot sensing, robot vision, and visual tracking. In these areas, he has published over 400 papers including over 200 SCI listed journal papers. Dr Li has received many awards in robot sensing and vision including IEEESensors Journal Best Paper Award by IEEE Sensors Council, Second Prize of Natural Science Research Award by the Ministry of Education, 1st Prize of Natural Science Research Award of Hubei Province, 1st Prize of Natural Science Research Award of Zhejiang Province, China.? He was on Top 2% of the world’s most highly cited scientists by Stanford University, 2020- and Career Long. He has served as an Associate Editor for IEEE Transactions on Automation Science and Engineering (T-ASE), Associate Editor and Guest Editor for IEEE Robotics and Automation Magazine (RAM), and Editor for CEB, IEEE International Conference on Robotics and Automation (ICRA). He is a fellow of IEEE.
Speech Title: 3D visual sensing and tracking for robots
Abstract: Visual sensing and tracking are needed in many engineering applications including robotics. In this talk, I will present our research in visual sensing for automated 3D sensing in general and for motion tracking for robotics in particular. Different approaches in our investigation in 3D vision will be reported. These include an active vision approach to 3D visual sensing. For robotic applications, visual sensing in 3D is often needed, but the calibration remains tedious and inflexible with traditional approach. To this end, we have investigated the relevant issues for different visual sensing systems. A flexible calibration method desires the vision system parameters to be recalibrated automatically or with less operator interference whenever the configuration of the system is changed, but practically this is often hard to achieve. Various attempts were made in our previous works to enhance the flexibility in the visual sensing calibration. I will present some them including the work on omni-directional visual sensing and tracking. Another case to present is that of gaze tracking where the issues in the modeling and calibration are addressed with our new calibration method developed.
Prof. Bin Zi
Xidian University, China
Biography: Bin ZI is currently the Dean and Professor of School of Mechano-Electronic Engineering in Xidian University, China. He received his Ph.D. in Mechatronic Engineering from Xidian University, China, in 2007. He was a visiting scholar with the Chair of Mechanics and Robotics, University of Duisburg-Essen, Germany, from 2011 to 2012, and a visiting professor with the Robotics and Automation Laboratory, Institute of Technology, University of Ontario, Canada, in 2015. Dr. Zi has received the 2019 National Science Fund for Distinguished Young Scholars of China and presided over more than 20 research projects including the NSFC Key Program and National Key R&D Program of China on Intelligent Robots. He has published four monographs, more than 100 papers and more than 100 authorized invention patents. He is the associate editor of ASME Journal of Mechanical Design, IEEE Robotics and Automation Letters and IEEE Transactions on Instrumentation and Measurement. He has been invited as the keynote/plenary speaker in several academic symposiums and conferences. He also served on the technical program or organization committees of several ASME and IEEE conferences. His research interests include the theory, technology and equipment of intelligent rigid-flexible coupling robots, control and automation of intelligent manufacturing system, and continuum robots and its applications.
Prof. Haitao Liu
Tianjin University, China
Biography: 劉海濤，天津大學(xué)長(zhǎng)聘教授，博士生導(dǎo)師，國(guó)家杰青/優(yōu)青基金獲得者，德國(guó)洪堡學(xué)者，擔(dān)任中國(guó)機(jī)械工程學(xué)會(huì)機(jī)器人分會(huì)常務(wù)委員，中國(guó)自動(dòng)化學(xué)會(huì)共融機(jī)器人專(zhuān)委會(huì)、中國(guó)自動(dòng)化學(xué)會(huì)機(jī)器人專(zhuān)委會(huì)、國(guó)際機(jī)構(gòu)學(xué)與機(jī)器科學(xué)聯(lián)合會(huì)（IFToMM）中國(guó)委員會(huì)和計(jì)算運(yùn)動(dòng)學(xué)專(zhuān)委會(huì)委員等；主要研究方向?yàn)闄C(jī)器人與智能制造技術(shù)，主持國(guó)家重點(diǎn)研發(fā)計(jì)劃、國(guó)家自然科學(xué)基金、國(guó)家科技重大專(zhuān)項(xiàng)課題、軍科委創(chuàng)新特區(qū)項(xiàng)目等；在IEEE Transactions on Robotics、Mechanism and Machine Theory、Robotics and Computer- Integrated Manufacturing等機(jī)器人機(jī)構(gòu)學(xué)權(quán)威期刊發(fā)表SCI論文130余篇，授權(quán)國(guó)家發(fā)明專(zhuān)利49件、美國(guó)和歐洲專(zhuān)利4件。獲得2021年天津市技術(shù)發(fā)明一等獎(jiǎng)，2021年中國(guó)機(jī)械工程學(xué)會(huì)青年科技獎(jiǎng)，以及2015年國(guó)家技術(shù)發(fā)明二等獎(jiǎng)、2022年機(jī)械工業(yè)科學(xué)技術(shù)獎(jiǎng)（技術(shù)發(fā)明）一等獎(jiǎng)、2022年中國(guó)專(zhuān)利優(yōu)秀獎(jiǎng)、2020年天津市專(zhuān)利金獎(jiǎng)、2021年中國(guó)好設(shè)計(jì)金獎(jiǎng)等科技獎(jiǎng)勵(lì)。