Jeng-Han Li

Southern Taiwan Science Park, Industrial Technology Research Institute

Papers

Total Citations

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About

Jeng-Han Li is a robotics researcher whose work focuses on intelligent control systems and human-robot interaction, with particular expertise in bipedal locomotion and vision-based autonomous navigation. His most influential contribution is the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for biped robots, which uses a two-stage approach: first employing an ANFIS as a system identifier to model the robot's dynamics, then implementing a motion controller combining ten subsystems for stable walking. This work, published in 2007, has garnered 11 citations and laid foundational principles for adaptive locomotion control. Li further advanced the field with his 2012 study on gait detection for stable biped locomotion, introducing methods to maintain balance during dynamic walking. Beyond bipedal systems, Li demonstrated practical applications of robotics through his design of a vision-based shopping assistant robot (2006, 8 citations), which integrated computer vision for customer service in mall environments, showcasing how robotic systems can enhance human experiences in public spaces. His research bridges theoretical control methods with real-world deployment, contributing to both the technical advancement of legged locomotion and the development of socially assistive robots.