Xiaotao Shan
Papers
1
Total Citations
12
H-Index
1
About
Xiaotao Shan is a researcher in multi-robot systems and distributed coordination, with a focus on time-constrained dynamic task allocation for collective transport. His most-cited work, "A distributed multi-robot task allocation method for time-constrained dynamic collective transport" (2024, 12 citations), addresses a critical challenge in robotics: enabling teams of robots to efficiently allocate and execute tasks under strict temporal constraints in unpredictable environments. This contribution is notable for its practical approach to real-world applications such as warehouse logistics, search-and-rescue, and autonomous construction, where robots must collaborate without centralized control. Shan’s research advances the field by developing scalable, decentralized algorithms that balance workload, minimize delays, and adapt to changing conditions—key for deploying robot swarms in dynamic settings. With 12 citations already, this work is gaining traction among researchers exploring resilient multi-agent systems. His achievements highlight a commitment to bridging theoretical coordination models with deployable solutions, making him a promising voice in the growing domain of time-critical multi-robot cooperation.
Research Focus
Key Achievements
Top Papers
- 1