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About

Zhihai Bi is an emerging robotics researcher whose work centers on bio-inspired locomotion systems, soft and metameric robot design, and autonomous navigation in complex environments. His most significant contributions lie in the development of worm-snake-inspired metameric robots capable of multi-modal locomotion — systems that draw from biological archetypes to achieve adaptability across unstructured terrains. His 2023 paper on unified gait control for such robots has accumulated 27 citations, establishing it as a foundational reference in the field. Building on this, Bi advanced the concept further by integrating foldable wheeled structures with antagonistically deformable worm-like bodies, producing robots that overcome the individual limitations of conventional designs. His dynamic modeling work addresses previously overlooked practical challenges in peristaltic locomotion, moving the field beyond purely kinematic analyses. More recently, Bi has extended his research into robot navigation, introducing the FRTree planner — a novel framework for real-time path planning in cluttered, unknown environments with narrow passages. Collectively, his research portfolio reflects a systematic effort to bridge biomechanical inspiration with rigorous engineering, making him a notable contributor to the growing field of adaptive and resilient robotic systems.