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