name2---->(字串長度:0)---->Shao-Hua Sun(字串長度:12)```anchor---->speaker-44(字串長度:10)---->shao-hua-sun(字串長度:12)```talk_title---->(字串長度:0)---->Program-Guided Robot Learning(字串長度:29)```talk_title2---->(字串長度:0)---->程序引導式機器人學習(字串長度:30)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->National Taiwan University(字串長度:26)```position---->(字串長度:0)---->Assistant Professor(字串長度:19)```desc---->(字串長度:0)---->Recent developments in artificial intelligence and machine learning have remarkably advanced machines’ ability to understand images and videos, comprehend natural languages and speech, and outperform human experts in complex games. However, building intelligent robots that can operate in unstructured environments, manipulate unknown objects, and acquire novel skills – to free humans from tedious or dangerous manual work – remains challenging. 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.(字串長度:930)```me_desc---->(字串長度:0)---->Shao-Hua Sun is an Assistant Professor in the Department of Electrical Engineering at National Taiwan University (NTU). He completed his Ph.D. in Computer Science at the University of Southern California (USC) and holds a B.S. in Electrical Engineering from NTU. He has been awarded Yushan Young Fellow by the Ministry of Education, Taiwan. Prof. Sun's research interests include machine learning, robot learning, reinforcement learning, and program synthesis. His work has been presented at premier conferences across diverse fields, including machine learning (NeurIPS, ICML, ICLR), robot learning (CoRL), computer vision (CVPR, ECCV), and natural language processing (EMNLP, COLM). He has organized tutorials at ACML 2023, NeurIPS 2024, ICML 2025, RLC 2025, and CoRL 2025.(字串長度:775)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://shaohua0116.github.io/(字串長度:30)