Mo Huaxi

Papers

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About

Mo Huaxi is a researcher in humanoid robotics, with a focus on gait planning, locomotion control, and multi-objective optimization for bipedal walking on challenging terrains. Their major contributions include developing a multi-objective gait optimization method for humanoid robots walking on slopes, as presented in their most-cited paper (2011, 8 citations), which parameterizes hip and ankle trajectories using an inverted pendulum model (IPM) to enhance stability and efficiency. Additionally, they advanced walking control by integrating force-sensitive resistor (FSR) sensors with the inverted pendulum model (2012, 7 citations), enabling more adaptive and robust locomotion. Their work also extends to gait planning for stair climbing (2011, 3 citations), addressing the complexities of vertical terrain navigation. With a total of 18 citations across these key papers, Mo Huaxi’s research has contributed foundational methods for humanoid robot mobility in real-world environments, particularly where slopes, uneven surfaces, and stairs pose challenges. Their achievements highlight a systematic approach to parameterizing and optimizing bipedal gait, offering practical solutions for autonomous humanoid robots.