Papers
11
Total Citations
335
H-Index
9
About
Liwei Yang is a leading researcher in mobile robotics, whose work has fundamentally advanced the field of autonomous navigation and multi-robot coordination. His primary research areas center on path planning, obstacle avoidance, and task scheduling for mobile robots operating in complex, dynamic, and unknown environments. Yang’s most significant contribution is the development of hybrid algorithms that synergize global and local planning methods. His highly cited 2023 review on path planning techniques (89 citations) established a foundational taxonomy for the field, while his innovative Ant Colony Optimization fused with Dynamic Window Approach (ACO–DWA) has become a benchmark solution for dynamic path planning (68 citations). He has extended this framework to address the critical challenges of distributed multi-robot systems, proposing scalable, collision-free coordination strategies that have garnered over 47 citations. His recent work tackles emerging frontiers, including energy-efficient path planning for rough terrain and cross-area scheduling for agricultural robots. With over 330 total citations across his publications, Yang’s research is widely recognized for bridging theoretical optimization with practical, real-world deployment, making him a pivotal figure in the evolution of intelligent, autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Path Planning Technique for Mobile Robots: A Review89 citations · 2023
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- 4LF-ACO: an effective formation path planning for multi-mobile robot41 citations · 2021
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