Yuhui Cheng
Papers
2
Total Citations
26
H-Index
2
About
Yuhui Cheng is a leading researcher in multirobot systems, specializing in topological mapping and path planning for dynamic, human-robot collaborative environments. Their work addresses critical challenges in smart factories, restaurants, and hotels, where multiple mobile robots must navigate complex, narrow spaces without collisions. Cheng’s most-cited paper (2022, 18 citations) introduces a global topological map construction algorithm based on grid map representation, enabling efficient multirobot coordination in large-scale environments. Their earlier study (2021, 8 citations) proposes a dynamic node allocation-based path planning method using heuristic search, overcoming the limitations of previous algorithms that required at least two channels—a breakthrough for navigating demanding settings like crossroads and narrow passages. By solving path conflicts and blockages, Cheng’s contributions enhance system robustness and task efficiency, directly impacting real-world applications in logistics and service robotics. Their work is foundational for advancing autonomous multiagent systems in constrained spaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dynamic Node Allocation-Based Multirobot Path Planning8 citations · 2021