Sheng Du

Chinese Academy of Sciences, Shandong Institute of Automation, University of Chinese Academy of Sciences

Papers

Total Citations

120

H-Index

About

Sheng Du is a leading researcher in bioinspired robotics, with a primary focus on the design, optimization, and control of high-performance robotic fish. His major contributions center on advancing the swimming capabilities of tuna-inspired robots, addressing the fundamental challenge of achieving both high speed and exceptional maneuverability in a single, untethered platform. Du pioneered the innovative use of a two-motor-actuated propulsive mechanism, which significantly reduces the volume and mass of the caudal peduncle, enabling more agile and powerful locomotion. His work on the "CasiTuna" robot system, detailed in his most-cited paper (58 citations), demonstrates a novel mechanical design and control strategy for fast swimming and sharp turning. He further refined these concepts through mechanism optimization and steering strategies, as shown in his 2022 paper (50 citations), which presents an untethered, high-performance robotic tuna. Du has also contributed to the navigation of these systems, developing a modified line-of-sight method for path tracking that accounts for the unique body dynamics of thunniform swimmers. His research is pivotal for the next generation of agile, efficient underwater vehicles.