Max Robotics — Global Service Robot Directory + US Certification

About

Chen-Yang Lin is a researcher at the intersection of assistive robotics and human-centered AI, whose work addresses critical challenges in aging societies and professional automation. His primary research areas include compliant motion control for walking-assistant robots, technology acceptance modeling for AI systems, and the development of autonomous living aids. Lin’s most impactful contribution is the shared control design for a walking-assistant robot (2017, 48 citations), which integrates autonomous navigation with compliant motion control to safely assist impaired users in complex indoor environments. He further advanced this field with a novel compliant motion controller (2009, 15 citations) that uses motor current and speed measurements to estimate external forces, eliminating the need for expensive sensors. Lin also pioneered exploratory studies on AI adoption in professional fields, including an extended TAM model for AI robotic architects (2021, 43 citations) and a quantitative survey on lawyer robots (2022, 25 citations). His early work on the Robot of Living Aid, RoLA (2008, 12 citations), demonstrated autonomous emergency response capabilities for elderly individuals living alone. With over 140 total citations, Lin’s research bridges technical innovation in robotics with critical insights into human-technology interaction, making him a notable contributor to both assistive robotics and AI acceptance studies.