Yucong Wu

Southern University of Science and Technology

Papers

Total Citations

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About

Yucong Wu is a robotics researcher specializing in bipedal locomotion for humanoid robots, with a particular focus on child-sized platforms. His work addresses fundamental challenges in achieving stable, human-like walking on uneven terrain and incorporating anthropomorphic gait features. Wu’s key contributions include a novel walking control framework based on centroidal momentum allocation, which reduces the demand for precise ground detection—a critical limitation for smaller humanoids. This approach enables more robust locomotion across irregular surfaces, as detailed in his 2023 paper, which has garnered 3 citations. Additionally, Wu has advanced the realism of bipedal motion by developing a gait planning framework that integrates heel-contact and toe-off motions, mimicking human walking biomechanics. His 2022 paper on this topic, also with 3 citations, stands out for successfully implementing these features on an actual child-sized robot—a rare achievement in the field. By bridging the gap between theoretical gait planning and practical deployment on small-scale platforms, Wu’s work contributes to making humanoid robots more agile and natural in their movements, with potential applications in search-and-rescue, exploration, and human-robot interaction.