Lecture topic：Challenges of Virtual-to-Real Learning for Deep Learning Based Intelligent Robotics

Time:5/3(Wed) 3:30-5:30 PM

Location:ED117

Speaker and resume：Prof.  Chun-Yi Lee(NTHU)

【Lecture outline】

This presentation aims to discuss a computational framework for real-data collection and learning, which effectively leverages a collection of AI models for self-navigating mobile robots. We will particularly focus on developing visual perception models that can see the real world through a camera -- as they play a pivotal role for a variety of AI-powered products and services, such as autonomous vehicles and smart cities, and are the main area of research that Elsa Lab has been contributing to.

【Speaker Introduction】

Chun-Yi Lee is an Associate Professor of Computer Science at National Tsing Hua University (NTHU), Hsinchu, Taiwan, and is the supervisor of Elsa Lab. Lee’s research focuses on deep reinforcement learning (DRL), intelligent robotics, computer vision (CV), and parallel computing systems. He has contributed to the discovery and development of key deep learning methodologies for intelligent robotics, such as virtual-to-real training and transferring techniques for robotic policies.