Topic: Toward
Human-Centered Physical AI
Speaker: Prof.
Yi-Ting Chen — Associate Professor, Department of Computer Science at National
Yang Ming Chiao Tung University
Time: March
24, 2026 (Tuesday), 2:00 – 4:00 p.m.
Venue: The
Management Building, 11F, AI Lecture Hall
Join Online: https://reurl.cc/EbkDzv or scan QR code on poster
About the Speaker:
Prof. Yi-Ting Chen is an associate
professor in the Department of Computer
Science at National Yang Ming Chiao Tung
University. He received his Ph.D. degree in Electrical and
Computer Engineering from Purdue University. He worked as a
senior research scientist at Honda Research Institute USA. His research
lies in Human-centered physical AI, intelligent driving systems, assistive
robotics, and computer vision.
Abstract:
Physical AI has gained rapid momentum in
recent years. Yet most systems remain optimized for benchmark performance
rather than long-term human integration and real-world deployment. How can
Physical AI truly empower people while operating safely, reliably, and at
scale? In this talk, I introduce Human-Centered Physical AI, an
interdisciplinary paradigm that integrates perception, learning,
decision-making, embodiment, multi-agent interaction across physical and
virtual environments, and deployment and evaluation. Beyond intelligent
behaviors, it emphasizes human-in-the-loop evaluation, safety-aware learning,
robustness under real-world uncertainty, participatory design, and system-level
validation. By placing human needs, safety, and dignity at the core, this
approach bridges capability and accountability to enhance autonomy, trust, and
quality of life. I will present assistive feeding and meal preparation as
representative use cases, highlighting how personalization, safety constraints,
and uncertainty modeling shape the system design.
Organizers: College of Intelligent Computing & Artificial
Intelligence Research Center
※ No registration needed.
