Xiaoping Guo

Hefei University of Technology, Institute of Intelligent Machines

Papers

Total Citations

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About

Xiaoping Guo is a pioneering researcher in multi-robot systems and affective robotics, with a focus on developing autonomous, emotionally intelligent coordination for healthcare applications. Guo’s major contributions center on reimagining task allocation by integrating computational models of emotion and personality into robotic decision-making. In their most cited work, "Collaborative task assignment of interconnected, affective robots towards autonomous healthcare assistant" (2018, 34 citations), Guo introduced a framework where robots with distinct affective states collaborate dynamically to assist patients. This was followed by "Distributed task allocation method based on self-awareness of autonomous robots" (2019, 8 citations), which advanced robot introspection for decentralized coordination. Guo’s 2021 paper, "Task Allocation for Affective Robots Based on Willingness" (3 citations), proposed the novel CASE personality model and an interpretable willingness-based affection system, treating emotion as a computational variable to resolve coordination challenges. By bridging affective computing and swarm robotics, Guo has opened new pathways for human-robot interaction in care settings. Their work, though early in citation impact, represents a bold step toward robots that not only perform tasks but understand and express social intent—a critical frontier for autonomous healthcare assistants.