Papers
15
Total Citations
144
H-Index
8
About
Shiyin Qin is a leading researcher in robotics, with key contributions spanning simultaneous localization and mapping (SLAM), space robotics, rehabilitation exoskeletons, and path planning. His work on the FastSLAM algorithm, detailed in a highly cited 2018 paper (24 citations), addresses the critical challenge of particle degeneracy in mobile robot mapping, offering a more accurate and efficient solution. In space robotics, Qin has pioneered motion planning methods for dual-arm robots to capture satellites while keeping the base inertially fixed (18 citations), and developed kinematic models for free-floating space robots (13 citations), advancing on-orbit servicing capabilities. His research also extends to healthcare, where he has designed robust control strategies for lower limb rehabilitation exoskeletons (14 citations), ensuring precise gait tracking. With additional work on multi-objective path planning using chaos immune particle swarm optimization (16 citations) and fuzzy sliding mode control for skid-steer vehicles (16 citations), Qin demonstrates versatility across autonomous navigation and control. His recent exploration of lightweight 3D object recognition with LVNet (2024) signals ongoing innovation. With over 100 citations across his top papers, Qin’s work has a tangible impact on both theoretical foundations and practical applications in robotics.
Research Focus
Key Achievements
Top Papers
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- 4Fuzzy sliding mode control algorithm for a four-wheel skid steer vehicle16 citations · 2014
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- 6Kinematic Modeling for a Class of Free-Floating Space Robots13 citations · 2017
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