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About

Weilong Zuo is a robotics researcher specializing in legged locomotion, humanoid robot dynamics, and motion planning for complex robotic systems. His work spans both quadruped and bipedal platforms, addressing fundamental challenges in robot mobility, stability, and fall recovery. Zuo's early contributions focused on novel quadruped walking robot design, where he developed a serial-parallel hybrid leg architecture offering enhanced workspace and movement precision, detailed in his most-cited work (2016, 7 citations). This research laid a foundation for subsequent gait planning studies on hybrid quadruped systems. Shifting toward humanoid robotics, he has tackled the critical problem of fall prevention and recovery — developing whole-body dynamics frameworks that enable robots to leverage environmental supports, such as walls, to maintain balance (2024, 3 citations). His work on bipedal running further demonstrates his breadth, refining biologically inspired controllers through improved swing leg control and whole-body dynamics for more precise locomotion performance (2021, 3 citations). Most recently, Zuo has explored advanced optimization techniques, including constraint-augmented differential dynamic programming for automatic fall recovery in humanoids. With a growing citation record across legged robotics subfields, his research offers meaningful contributions to making mobile robots safer and more capable in real-world human environments.