Dean Thurston
Papers
2
Total Citations
33
H-Index
2
About
Dean Thurston is a leading researcher in human-robot teaming and situated dialogue systems, with a focus on enabling robots to function as genuine teammates rather than mere tools. His key research areas include shared mental models for human-robot coordination, decision-theoretic question generation, and referential communication in multimodal environments. Thurston’s major contribution is the development of a computational framework for robot shared mental models (SMMs), which draws on decades of behavioral science to improve team performance in human-robot teams. His most-cited work, "Toward Genuine Robot Teammates" (2020, 30 citations), demonstrates how robots can use SMMs to anticipate human needs and coordinate effectively, marking a significant step toward seamless human-robot collaboration. In a related study (2021, 3 citations), he introduced a decision-theoretic model for generating questions that resolve referential ambiguity in situated dialogue, advancing how robots can seek clarification in real-world interactions. Thurston’s work is notable for bridging cognitive science and robotics, offering practical pathways for robots to engage in adaptive, context-aware communication. His research has implications for collaborative robotics in manufacturing, healthcare, and search-and-rescue, and continues to inspire new directions in human-robot interaction.
Research Focus
Key Achievements
Top Papers
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