Papers
1
Total Citations
12
H-Index
1
About
Mo Xiong is a pioneering researcher in bioinspired robotics, with a focus on developing autonomous underwater vehicles that emulate the efficiency and maneuverability of marine life. His most cited work, "Bioinspired Closed-loop CPG-based Control of a Robotic Manta for Autonomous Swimming" (2023), introduces a novel central pattern generator (CPG) framework that enables a robotic manta ray to achieve stable, adaptive swimming in dynamic aquatic environments. This closed-loop control system, inspired by biological neural circuits, allows the robot to autonomously adjust its fin movements in response to real-time sensory feedback—a significant leap from open-loop designs. With 12 citations in its first year, the paper has quickly influenced research in soft robotics and underwater locomotion. Xiong’s contributions bridge neuroscience, control theory, and mechanical engineering, offering a scalable blueprint for next-generation autonomous underwater vehicles used in ocean exploration, environmental monitoring, and search-and-rescue missions. His work stands out for its elegant integration of biological principles into practical robotic systems, marking him as an emerging leader in the field of bioinspired robotics.
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Top Papers
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