Yuening Zhang
Papers
1
Total Citations
2
H-Index
1
About
Yuening Zhang is a leading researcher in human-robot interaction and multi-agent systems, with a core focus on enabling seamless collaboration between humans and autonomous agents. Her work addresses a critical challenge in ad-hoc teaming: how robots can adapt and communicate effectively when their beliefs about task plans diverge from their human partners. In her highly influential 2023 paper, "Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents’ Beliefs about Plans," Zhang introduces novel frameworks for detecting and resolving mismatches in shared mental models during real-time collaboration. This research, already garnering attention in the field, provides foundational methods for robots to proactively clarify intentions and adjust their behavior when plan discrepancies arise—a key step toward trustworthy, flexible human-robot teams. Zhang’s contributions are particularly vital for applications in emergency response, manufacturing, and space exploration, where ad-hoc teams must coordinate without pre-programmed protocols. By bridging the gap between theoretical multi-agent planning and practical human-robot communication, she is shaping the future of adaptive, resilient autonomous systems that can work alongside humans in unpredictable environments.
Research Focus
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Top Papers
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