Chang-xiang Fan

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About

Chang-xiang Fan is a researcher in robotics, with a primary focus on bipedal locomotion and humanoid robot motion planning. His most cited work, "Action generation of a biped robot climbing stairs" (2013), introduces a novel algorithm based on Repeatedly Direct Kinematics (RDK) and forward kinematics to enable stable stair-climbing—a critical and challenging task for biped robots. This contribution addresses fundamental challenges in dynamic balance and trajectory generation, providing a practical framework for robots to navigate structured environments. With 5 citations, this paper has served as a reference for subsequent studies in bipedal gait control and stair locomotion. Fan’s research bridges theoretical kinematics with real-world robotic applications, emphasizing stability and efficiency in complex terrains. His work is particularly relevant for students and researchers exploring motion planning in humanoid robotics, offering foundational insights into the algorithmic design of adaptive climbing actions. By tackling the specific problem of stair ascent, Fan contributes to the broader goal of enabling robots to operate seamlessly in human-centric spaces.