Jun Sheng

National Taiwan University, Wuhu Hit Robot Technology Research Institute

Papers

Total Citations

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About

Jun Sheng is a robotics researcher whose work centers on bipedal locomotion, walking stability, and industrial automation. His primary contributions lie in developing control strategies to help biped robots withstand external disturbances and walk more naturally. In his most cited work, "Biped robot push and recovery using flywheel model based walking perturbation counteraction" (17 citations), Sheng introduced a method that uses rotary momentum from a flywheel to counteract pushes, enabling robots to maintain balance and avoid falling—a critical challenge in humanoid robotics. He further advanced walking pattern generation with non-constant body height, proposing a three-phase gait cycle (lowering, rising, inverted pendulum) that moves beyond traditional linear inverted pendulum models. Sheng also contributed to industrial robotics with work on layout analysis and path planning for palletizing production lines, demonstrating versatility across both humanoid and manufacturing domains. His research has accumulated over 30 citations, reflecting its relevance to the fields of dynamic walking and robot stability. By addressing both theoretical walking models and practical perturbation recovery, Sheng has helped bridge the gap between controlled laboratory gaits and robust, real-world bipedal locomotion.