Zongying Shi
Papers
10
Total Citations
90
H-Index
6
About
Zongying Shi is a robotics researcher whose work spans mobile robot localization, simultaneous localization and mapping (SLAM), multi-robot coordination, and autonomous motion planning. With a career bridging foundational probabilistic methods and modern optimization-based approaches, Shi has made significant contributions to the challenge of robot self-localization in complex, ambiguous environments. His most influential work introduced adaptive dynamic clustered particle filtering for mobile robot global localization, addressing the inherently multimodal nature of pose estimation in symmetrical environments — a paper that has garnered 23 citations. Complementary research on extended strong tracking filters further demonstrated his commitment to localization robustness under challenging conditions such as kidnapping scenarios. Shi has also advanced visual SLAM by incorporating wheel odometry through nonlinear optimization on SE(3) manifolds, improving accuracy for indoor robots. His scope extends to multi-robot systems, including collaborative visual object tracking, decentralized robust control, and, more recently, distributed auction algorithms for coalition-based task assignment. His contributions to quadruped and humanoid robot gait planning round out a versatile research profile that bridges perception, control, and coordination — making his body of work a valuable reference for students and researchers in autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Gait Planning Of Quadruped Robot Based On Third-Order Spline Interpolation17 citations · 2006
- 3Visual SLAM incorporating wheel odometer for indoor robots10 citations · 2017
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- 6Decentralized robust tracking control for uncertain robots7 citations · 2004
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