Tianqi Yang

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About

Tianqi Yang is a leading researcher in humanoid robotics, with a primary focus on stable locomotion, gait planning, and fall prevention for bipedal machines. As a key member of the team at the Beijing Institute of Technology, Yang contributed to the landmark BHR humanoid robot series, a project initiated in 2000 to push the boundaries of humanoid adaptability and complexity. Yang’s most cited work, “Historical Developments of BHR Humanoid Robots” (2019, 15 citations), provides a comprehensive overview of two decades of progress in achieving stable walking and environmental adaptation. In “Turning Gait Planning Method for Humanoid Robots” (2018, 10 citations), Yang introduced a novel approach that simplifies turning dynamics by converting complex rotational motion into translational movement, significantly easing control. The paper “Falling Prediction and Recovery Control for a Humanoid Robot” (2018, 6 citations) addresses a critical challenge—predicting falls before they occur—enabling proactive recovery strategies. With a total of 36 citations across these works, Yang’s research has advanced the safety and efficiency of humanoid robots, laying essential groundwork for future autonomous systems.