Chien-Hsin Chen

Papers

Total Citations

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About

Chien-Hsin Chen is a robotics researcher whose work centers on humanoid robot locomotion, with a particular focus on walking stability and trajectory generation. His most-cited paper, "Using Zero Moment Point preview control formulation to generate nonlinear trajectories of walking patterns on humanoid robots" (2015), addresses a fundamental challenge in robotics: enabling humanoid robots to maintain balance across varied ground conditions. Chen’s key contribution lies in his innovative use of Zero Moment Point (ZMP) preview control to design nonlinear walking trajectories, where a desired ZMP path is first established and then used to generate a Center of Mass (CoM) trajectory. This approach enhances robot stability during dynamic walking, bridging the gap between theoretical control methods and practical implementation. While his citation count remains modest at five for this work, the research holds significance for advancing adaptive locomotion in humanoid robots, particularly for uneven terrains. Chen’s efforts contribute to the broader goal of creating more agile and stable humanoid platforms, offering a foundation for future studies in bipedal robotics and real-time motion planning.