Xiangguo Yang
Papers
2
Total Citations
14
H-Index
2
About
Xiangguo Yang is a researcher in multi-robot systems, focusing on the critical challenge of task allocation in robot teams. His work addresses how to efficiently distribute tasks among robots to maximize group performance, particularly in dynamic and collaborative environments. Yang’s major contributions center on developing distributed task allocation algorithms that consider both individual robot capabilities and the historical performance of robot collaborations. His most cited paper, "A Multi-Robots Task Allocation Algorithm Based on Relevance and Ability With Group Collaboration" (2010, 11 citations), introduces the TA algorithm, which uses a special relation defined by past cooperation to guide task assignment. This work builds on his earlier RARGC algorithm (2009), which weighted robot ability by belief degree and incorporated relevance for group collaboration. While his citation counts are modest, Yang’s research provides foundational insights into how robots can autonomously organize themselves for complex missions, with implications for search-and-rescue, manufacturing, and exploration. His work is particularly valuable for students and researchers interested in swarm robotics and distributed artificial intelligence.
Research Focus
Key Achievements
Top Papers
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