Polar is a Robotics Fellow in the Division of Safety Research and Center for Occupational Robotics Research at National Institute for Occupational Safety and Health (NIOSH). His research and teaching interests include Human-Robot Collaboration, Computer Vision, Reinforcement Learning, Building Information Modeling (BIM), Digital Twins, and Extended Reality (XR) to promote sustainability and safety in future construction and manufacturing sites. He received his Ph.D. in Civil Engineering and M.S. in Robotics at the University of Michigan. He also received M.S. and B.S. in Civil Engineering from National Taiwan University.
Ph.D. in Civil and Environmental Engineering, 2021
University of Michigan
M.S. in Robotics, 2017
University of Michigan
M.S. in Civil Engineering, 2015
National Taiwan University
B.S. in Civil Engineering, 2012
National Taiwan University
Apply Learning from Demonstration method to teach construction robots.
Develop a vision-based DNN pose estimation system.
Develop an AR stroke simulation for clinical training.
RAS, a robotic assembly system for steel structure, remove workers from high places and perform steel beam assembly tasks semi-automatically.
Global construction collaboration course taught between seven universities using BIM and online collaboration platform.
BotBeep, an innovative and low-cost device, was developed to warn the user of elevation changes behind the wheelchair.