Shuzhan Shentu
Papers
5
Total Citations
68
H-Index
4
About
Shuzhan Shentu is a leading researcher in mobile robotics, specializing in the design, control, and autonomous navigation of complex multi-tracked robotic systems. Her work centers on developing innovative solutions for obstacle avoidance and trajectory planning in challenging environments, particularly for mobile parallel robots (MPRs) and multi-tracked platforms equipped with parallel manipulators. Shentu’s major contributions include pioneering a two-step method for generating collision-free trajectories under coupling constraints, as demonstrated in her highly cited 2020 paper (25 citations) on motion control for MPRs. She has also advanced hybrid navigation systems for outdoor autonomous positioning and path planning (16 citations, 2022), addressing critical gaps in outdoor robotic applications. Her research on obstacle-crossing strategies and formation optimization for multi-robot systems (18 citations, 2020) further showcases her impact. With a total of over 68 citations across her top papers, Shentu’s work is foundational for developing robust, field-deployable mobile robots. Her notable achievements include the design of the VicRoB robot—a six-degree-of-freedom platform driven by three tracked vehicles—and the application of adaptive sliding mode control informed by neural networks for wheeled mobile robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5