Yanyan Han
Papers
2
Total Citations
14
H-Index
2
About
Yanyan Han’s research centers on multi-robot systems, with a specific focus on task allocation algorithms that enable efficient collaboration within robot teams. Her major contribution lies in developing distributed methods that consider both individual robot capabilities and historical cooperation performance. In her 2010 work, “A Multi-Robots Task Allocation Algorithm Based on Relevance and Ability With Group Collaboration,” which has garnered 11 citations, Han introduced the TA algorithm—a novel approach that leverages “relevance,” a measure defined by past cooperative success, to assign tasks more intelligently. This builds on her earlier 2009 paper (3 citations), where she proposed the RARGC algorithm, weighting robot ability through a belief degree system. Together, these works address a critical challenge in robotics: how to dynamically allocate tasks in a team without centralized control. Han’s research is particularly notable for integrating group collaboration dynamics into allocation decisions, moving beyond simple capability-based matching. Her work provides foundational insights for students and researchers exploring distributed robotics, offering practical algorithms that improve team efficiency and adaptability in real-world multi-robot operations.
Research Focus
Key Achievements
Top Papers
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