Xiguang Wei
Papers
1
Total Citations
4
H-Index
1
About
Xiguang Wei is a researcher focused on advancing multi-robot systems and autonomous navigation, with a particular emphasis on path planning in dynamic and uncertain environments. Their major contribution lies in formulating and solving complex coordination problems for robotic fleets, such as those operating in automatic warehouses, where time-varying and unpredictable movement speeds challenge traditional algorithms. Wei’s 2022 work, "Path Planning Considering Time-Varying and Uncertain Movement Speed in Multi-Robot Automatic Warehouses," has garnered 4 citations, laying foundational insights for real-world applications like airport ground operations and drone swarms. This research addresses critical gaps in ensuring collision-free, efficient robot movement under real-world constraints, showcasing Wei’s ability to bridge theoretical problem formulation with practical algorithmic solutions. Their work is notable for tackling the intersection of uncertainty and multi-agent coordination, a key hurdle in scaling autonomous systems. For students and researchers, Wei’s contributions highlight the importance of robust planning in logistics and robotics, offering a pathway to more resilient and adaptive multi-robot deployments in industrial and aerial settings.
Research Focus
Key Achievements
Top Papers
- 1