Papers
1
Total Citations
8
H-Index
1
About
Xujian Wei has made foundational contributions to the field of multi-robot systems, with a particular focus on trust-based coordination and heterogeneous collaboration. His most-cited work, "The task allocation model based on reputation for the heterogeneous multi-robot collaboration system" (2010, 8 citations), introduces a novel framework that draws inspiration from human social dynamics—specifically, how reputation, built through the evaluation of past task performance, can guide efficient task allocation among robots with diverse capabilities. This early work was pioneering in its application of social trust mechanisms to robotic swarms, laying the groundwork for more adaptive and resilient autonomous systems. By modeling reputation as a dynamic, history-driven metric, Wei’s research addresses a critical challenge in multi-agent coordination: ensuring that tasks are assigned to the most reliable agents in uncertain environments. While his citation count reflects a focused niche, the conceptual impact of his work resonates in subsequent studies on decentralized task allocation and human-robot interaction. Xujian Wei’s research remains a key reference for scholars exploring the intersection of artificial intelligence, social computing, and collaborative robotics.
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Top Papers
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