Xiaofeng Fan

Papers

Total Citations

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About

Xiaofeng Fan is a researcher in robotics, with a primary focus on humanoid robot motion design and control algorithms. Their work centers on solving fundamental challenges in bipedal locomotion, particularly gait stability and trajectory planning, which are critical for enabling humanoid robots to move naturally and reliably. Fan’s most-cited paper, “Study on the motion design and control algorithm of humanoid robot” (2024), proposes an action controller that integrates stability criteria with precise trajectory planning, offering a systematic approach to robot motion. This contribution has garnered 1 citation, reflecting its emerging relevance in the field. By addressing the interplay between mechanical design and algorithmic control, Fan’s research supports the development of more adaptive and robust humanoid systems. Their work is particularly valuable for students and researchers exploring real-time control strategies in robotics, as it bridges theoretical motion stability with practical implementation. Fan’s ongoing efforts contribute to advancing humanoid robots toward applications in assistive technology, industrial automation, and human-robot interaction.