Papers
7
Total Citations
50
H-Index
3
About
Wentao Yu is a robotics researcher whose work spans autonomous mobile robot navigation, multi-robot coordination, and visual servoing systems. His most significant contributions lie in the domain of path planning and trajectory generation for mobile robots operating in dynamic, real-world environments — a particularly challenging problem that requires balancing collision avoidance with the often-overlooked kinematic constraints of physical robots. Yu's most cited work addresses both single and multiple mobile robot systems (MMRS), with his cooperative and prioritized path planning algorithms (2014, 16 and 8 citations respectively) standing out for their practical applicability. Unlike many contemporaneous methods, his approaches explicitly incorporate kinodynamic constraints, bridging the gap between theoretical planning and real-world deployment. His 2015 trajectory generation work further demonstrates this commitment to analytical, suboptimal solutions that remain computationally feasible for real-time applications. Beyond planning, Yu has made meaningful contributions to visual servoing, exploring epipolar geometry, RGB-D depth maps, and Kalman filter-based approaches to help nonholonomic robots navigate with field-of-view constraints. Together, these contributions reflect a coherent research vision: making mobile robots more autonomous, perceptually aware, and practically deployable in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 3A prioritized path planning algorithm for MMRS8 citations · 2014
- 43D depth map based optimal motion control for wheeled mobile robot3 citations · 2017
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