Shilei Shan
Papers
1
Total Citations
2
H-Index
1
About
Shilei Shan is a researcher specializing in multi-robot systems, with a particular focus on task allocation under constrained communication environments. His work addresses critical challenges in robot emergency rescue scenarios, where communication between robots is often limited to localized ranges. Shan’s major contribution lies in developing two-stage multi-robot task allocation algorithms that prioritize robust coordination even when global connectivity is unavailable. By moving beyond traditional weak communication models that emphasize communication quality, his approach ensures effective task distribution in real-world, high-stakes situations. His 2024 paper on this topic has already garnered attention, accumulating 2 citations in a short time—a promising start for an emerging scholar. Shan’s research bridges the gap between theoretical algorithm design and practical deployment in disaster response, offering scalable solutions that enhance the autonomy and resilience of robotic teams. His work is particularly notable for its emphasis on local communication constraints, a realistic yet underexplored aspect of multi-robot coordination. For students and researchers in robotics, Shan’s contributions provide a foundation for advancing task allocation in communication-limited environments, with direct implications for emergency response, exploration, and other collaborative robotic applications.
Research Focus
Key Achievements
Top Papers
- 1