Max Robotics — Global Service Robot Directory + US Certification

About

Chuande Liu’s research focuses on the intersection of robotics, perception, and safety in human–robot collaboration, with particular emphasis on mobile manipulation and inspection robotics. His most cited work, “An omnidirectional 3D sensor with line laser scanning” (33 citations), introduced a novel sensing approach that enables robots to perceive their environment in three dimensions, a foundational contribution to autonomous navigation and manipulation. Liu has made significant strides in addressing the practical challenge of dynamic door-closing workspaces, where unlocked doors can interrupt tasks or cause collisions. In his 2021 paper “Self-protective motion planning for mobile manipulators in a dynamic door-closing workspace” (7 citations), he developed algorithms that allow manipulators to anticipate and react to closing doors, balancing task efficiency with safety. This work is complemented by his research on human–robot co-manipulation during door-closing emergencies, where he proposes a framework that prioritizes safety without sacrificing performance. Liu also contributed to inspection robotics with a bionic-robot for overhead power transmission lines (6 citations), inspired by the underactuated Acrobot, and developed vision-based door-opening state recognition for substation patrol robots. His work has direct applications in power stations and industrial environments, advancing both autonomous and teleoperated robotic systems.