Max Robotics — Global Service Robot Directory + US Certification

About

Yuhui Wan is an emerging robotics researcher whose work sits at the intersection of teleoperation, legged locomotion, and embodied artificial intelligence. His most recognized contributions center on enabling safer human-robot collaboration in high-risk environments, particularly Explosive Ordnance Disposal, where replacing human operators with robotic systems can save lives. His pioneering TeLeMan framework (2022, 9 citations) introduced wearable IMU-based motion capture to control legged robots for complex loco-manipulation tasks, a direction he further refined in a 2024 follow-up study (6 citations) that advanced the accessibility and precision of such systems. Complementing this, his vision-based gesture tracking research explores low-cost alternatives to expensive motion capture equipment, broadening teleoperation to consumer-level robotics. More recently, Wan has made notable strides in embodied AI, developing ROS-LLM (2025, 7 citations) and a subsequent framework (2026) that integrate large language models into the Robot Operating System, enabling more intuitive, language-driven robot control. Across his growing body of work, Wan consistently bridges cutting-edge AI with practical robotic deployment, positioning himself as a promising contributor to the future of safe, intelligent human-robot interaction.