Spring 2025 GRASP on Robotics: Ming C. Lin, University of Maryland at College Park, “Dynamics-Aware Learning: from Simulated Reality to Physical World”
February 7, 2025 @ 10:30 am - 11:45 am
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom.
ABSTRACT
In this talk, we present an overview of some of our recent works on the differentiable programming paradigm for learning, control, and inverse modeling. These include using dynamics-inspired, learning-based algorithms for detailed garment recovery from video and 3D human body reconstruction from single- and multi-view images, to differentiable physics for robotics, quantum computing and VR applications. Our approaches adopt statistical, geometric, and physical priors and a combination of parameter estimation, shape recovery, physics-based simulation, neural network models, and differentiable physics, with applications to virtual try-on and robotics. We conclude by discussing possible future directions and open challenges.
Presenter
Ming C. Lin - Learn More
Ming C Lin is currently Distinguished University Professor, Barry Mersky and Capital One E-Nnovate Endowed Professor of Computer Science at the University of Maryland at College Park. She is also an Amazon Scholar, former Elizabeth Stevinson Iribe Chair of Computer Science at UMD and John R. & Louise S. Parker Distinguished Professor Emerita of Computer Science at the University of North Carolina (UNC) – Chapel Hill. She received her B.S., M.S., Ph.D. degrees in Electrical Engineering and Computer Science respectively from the University of California, Berkeley. She is a Fellow of National Academy of Inventors, ACM, IEEE, Eurographics, ACM SIGGRAPH Academy, and IEEE VR Academy.