[Webinar] Robotic Manipulation and Physics-Informed Machine Learning (Speaker: Prof. Yu Sun)

Brief Center introduction

The AIM Center aims to realize unmanned manufacturing by integrating advanced artificial intelligence technologies across the entire manufacturing process. Its primary target industries include semiconductors, displays, batteries, biotechnology, future mobility, and robotics.

Overview of this seminar

Robots play a central role in modern manufacturing, yet manipulating and assembling micro-scaled objects remains largely manual. This seminar, presented by Professor Yu Sun from the University of Toronto, will introduce the field of robotic micromanipulation and explore how physics-informed machine learning can enhance robotic control at small scales. Using real-world examples, the talk will highlight how combining data-driven approaches with physics-based models can improve precision and efficiency in micro-assembly processes.

Seminar Abstract

Robots have become an integrated component in manufacturing. Although robotic manipulation at the macro scale has transformed many manufacturing processes, the manipulation and assembly of micro-scaled objects is still largely performed manually. This talk will start with an introduction of robotic micromanipulation and then migrate from dynamics-driven closed-loop control to physics-informed machine learning.  Specific cases will be used to illustrate the symbiosis of data-driven and physics model-driven methods.

Speaker Bio

Yu Sun is a Professor at the University of Toronto. He is a Fellow of all three of the national academies in Canada — the Canadian Academy of Engineering, the Royal Society of Canada and the Canadian Academy of Health Sciences. He is also an International Member of the Chinese Academy of Engineering and the U.S. National Academy of Engineering. His research focuses on robotics and precision instrumentation.

Relevant Link / SNS/ Youtube : https://sun.mie.utoronto.ca/