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 as well as acquires and utilizes primitive skills for learning to execute desired skills. This slide provide a brief overview of my recent research.
I am looking for students interested in machine learning, robot learning, reinforcement learning, and program synthesis. Specifically, I am hiring M.S. and Ph.D. students admitted to the Data Science and Smart Networking Group at the Graduate Institute of Communication Engineering (電信所丙組/資料科學與智慧網路組) or the Data Science Degree Program (資料科學學位學程) at NTU. Also, I am seeking undergraduate students, research assistants, and visiting students/scholars with different experience levels. If you are interested in joining my group, check out this slide and contact me at shaohuas@ntu.edu.tw with your CV and transcript.