Machine Learning-Based Intelligent Control of Drones
Event details
This talk introduces the latest advances in autonomous decision-making and intelligent control of drones based on machine learning. Our research focuses on two major areas: single-drone control and multi-drone coordination, addressing six key scientific questions: reinforcement learning for control with stability and safety guarantees, dynamics modeling using diffusion models, online dynamics model learning for edge computing, adaptive control of aerial manipulators, multi-drones pursuit based on multi-agent cooperation theory, and distributed learning based predictive control for ultra-large-scale drone swarms. Through validation on various quadrotor platforms, our research results provide new ideas and methods for the field of intelligent robot control.
About the speaker
Dr. Wei Pan
Dr. Wei Pan is currently an Associate Professor in Machine Learning in the Department of Computer Science at the University of Manchester, UK. He is also a member of the Centre for AI Fundamentals and the Centre for Robotics and AI at the University of Manchester. He is the Director of Teaching for the new UKRI AI CDT in Decision Making for Complex Systems. Previously, Dr. Pan was an Assistant Professor in Robot Dynamics in the Department of Cognitive Robotics at Delft University of Technology in the Netherlands, where he co-led the Delft Neuromorphic AI Lab. He also worked as a project leader at DJI Innovation in China. Dr. Pan currently serves as an area chair or (senior) associate editor for several journals and conferences, including IEEE Robotics and Automation Letters (where he received the Outstanding Associate Editor Award), ACM Transactions on Probabilistic Machine Learning, CoRL, L4DC, ICRA, and IROS. He received his degrees from Harbin Institute of Technology, University of Science and Technology of China, and Imperial College London.
Online Zoom Link:https://york-ac-uk.zoom.