Wei-Tao Li
Papers
1
Total Citations
12
H-Index
1
About
Wei-Tao Li is a researcher in multi-agent systems and swarm robotics, with a focus on human-swarm collaboration and coverage control. His most-cited work, "Human-swarm collaboration with coverage control under nonidentical and limited sensory ranges" (2019), has garnered 12 citations, addressing critical challenges in coordinating robotic swarms with heterogeneous sensing capabilities. Li’s contributions lie in developing algorithms that enable efficient coverage and task allocation in environments where agents have varying sensory constraints, bridging the gap between theoretical control theory and practical swarm deployment. His research emphasizes the integration of human operators into autonomous swarm systems, enhancing adaptability in real-world applications such as search-and-rescue or environmental monitoring. By tackling issues of nonidentical sensory ranges, Li advances the robustness of distributed coordination, making his work valuable for researchers exploring scalable, human-in-the-loop robotics. His findings offer foundational insights for designing resilient swarms that operate under realistic hardware limitations, positioning him as a contributor to the growing field of collaborative autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1