Zhi Yan from the University of Technology of Belfort-Montbéliard (UTBM) will give a talk "Perception and Learning for Mobile Robotics" on April 20 at 14:30 in room KN:E-301.
With the development of relevant hardware and software technology, the perception and learning ability of robots are getting stronger and stronger. In this talk, we first introduce some recent applications of 3D LiDAR in the field of mobile robotics (including autonomous driving), some methods of processing LiDAR sensory data, and the limitations and possible countermeasures of the perception system based on this device. We then conduct some discussion on how mobile robots can achieve long-term autonomy through learning. We conclude with some insights based on our hand-on experience in hardware and software integration, decision-making, and system evaluation for modern service robots.
Zhi Yan is currently an assistant professor of computer science and a referent for open science at the University of Technology of Belfort-Montbéliard (UTBM). From 2016 to 2017, he was a postdoctoral research fellow in the Lincoln Centre for Autonomous Systems (L-CAS) at the University of Lincoln, mainly working on the Horizon 2020 project FLOBOT, but also involved in the Horizon 2020 project ENRICHME. From 2013 to 2015, he was a postdoctoral research fellow in software engineering for robotics in the CAR Team at IMT Nord Europe. In 2012, he received his Ph.D. degree in computer science (multi-robot systems) from the University of Paris VIII. He has been visiting scholar at TU Wien, Hunan University, and Central South University. His current research interests include mobile robotics, autonomous driving, and chronorobotics. To know more about my research positioning, please refer to our paper for AAAI-23 Bridge Program on AI & Robotics.
