Curriculum Vitae

Graduate Researcher — NTU Robot Learning Lab

• Conducted research on programmatic reinforcement learning, investigating how program code can serve as a structured and generalizable representation for control policies.
• Published our work, Hierarchical Programmatic Option Framework, at NeurIPS 2024.
• Worked on imitation learning from suboptimal demonstrations, focusing on richer supervision signals beyond scalar rewards or weights.
• Proposed using natural language as an expressive supervision signal for imitation learning in embodied control.
• Explored diffusion steering through high-level noise prediction with in-context reinforcement learning.

Undergraduate Researcher — NTU Intelligent Robot Lab

• Worked on robot planning and decision-making with large language models.
• Explored how semantic reasoning and program structure can improve embodied control and robot task execution.

Robot Learning Research Intern — Shen Nong Shih

• Work on AI robotics for making Chinese cuisine like a real human.
• Develop and integrate real-time learning-based robotic systems for real-world culinary tasks.

Software Engineer — NTU Racing Team / Formula SAE

• Built software for race car communication, data uploading/decoding, and NTRIP/NMEA message publishing.
• Worked on robotics and autonomous-system-related software in a team engineering environment.

Project details →