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About

Qinyan Zhou is a pioneering researcher in bioinspired robotics, with a focus on metameric, worm-like robots that replicate the multi-modal locomotion of annelids and snakes. Zhou’s major contributions center on developing neurobiologically inspired control frameworks for earthworm-like robots, particularly through central pattern generator (CPG)-based architectures that map neural oscillations to robotic segment deformation. This work enables versatile, unified gait control for in-pipe and planar peristaltic locomotion, addressing practical challenges like anchoring and actuation that kinematic models overlook. Zhou’s most-cited papers, including a 2023 study on a worm-snake-inspired metameric robot (27 citations) and a CPG-based control framework (24 citations), have garnered significant attention for advancing robotic adaptability in complex environments. Notably, Zhou’s research was featured as a cover article in *Advanced Science* (2023), highlighting its impact on bioinspired robotics. By bridging neural control principles with robotic design, Zhou has established a foundation for more resilient, multi-modal locomotion systems, making their work essential for students and researchers exploring soft robotics, biomimicry, and autonomous navigation in constrained spaces.