Date & Time: 

  2025 /11 / 28  (Fri) 14:20 - 16:20

 

Location: 

  Delta Building R216, NTHU

 

Speaker: 

  孫紹華 教授

  國立臺灣大學 電機工程學系

 

Topic: 

   Program-Guided Robot Learning: Toward Interpretable and Generalizable Robotic Intelligence

 

Abstract: 

   Recent progress in AI and machine learning has dramatically expanded what machines can see, understand, and decide—yet robots still struggle when dropped into the messy, unpredictable world humans inhabit. Building systems that can manipulate unfamiliar objects, adapt on the fly, and acquire new skills without exhaustive supervision remains a major frontier. My research focuses on developing a robot learning framework that enables robots to acquire long-horizon and complex skills with hierarchical structures, such as furniture assembly and cooking. Specifically, I present an interpretable and generalizable program-guided robot learning framework, which represents desired behaviors as a program and acquires primitive skills for executing desired skills. This talk will discuss a series of projects toward building this framework.

 

Autobiography: 

    Shao-Hua Sun is an Assistant Professor in the Department of Electrical Engineering at National Taiwan University (NTU). He received his Ph.D. from the University of Southern California and his B.S. from NTU. His research spans machine learning, robot learning, reinforcement learning, and program synthesis. His work has been published in leading venues, including NeurIPS, ICML, CoRL, and ICLR. His research excellence has been recognized with the Yushan Young Fellow Award from Taiwan’s Ministry of Education (教育部玉山青年學者) and the Ta-You Wu Memorial Award from the National Science and Technology Council (國科會吳大猷先生紀念獎).