Papers
2
Total Citations
16
H-Index
2
About
Xishuo Zhu is a robotics researcher whose work centers on the dynamic locomotion and motion control of underactuated bipedal robots, with a particular focus on navigating uneven terrain. His major contributions lie in developing innovative control strategies that enable biped robots with point feet to walk stably without relying on pre-planned trajectories. In his most-cited work, "Trajectory-free dynamic locomotion using key trend states for biped robots with point feet" (2022, 9 citations), Zhu introduced a novel approach that uses key trend states to achieve robust, real-time locomotion. His earlier paper, "Motion Control for Underactuated Robots Adaptable to Uneven Terrain by Decomposing Body Balance and Velocity Tracking" (2021, 7 citations), presents a torque control strategy that separates body balance from velocity tracking, allowing the robot to adapt to irregular ground surfaces. This decomposition is critical for underactuated systems, where maintaining stability while tracking desired motion is a fundamental challenge. Zhu’s work has practical implications for advancing legged robotics in real-world environments, and his citation record reflects growing interest in his trajectory-free, terrain-adaptive methods among the locomotion research community.
Research Focus
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Top Papers
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