About

Tom Williams is a prominent researcher at the intersection of human-robot interaction (HRI), natural language processing, and robot ethics, whose work has fundamentally shaped how we understand social and moral dimensions of robotic systems. His research spans several interconnected areas: enabling robots to interpret and generate natural language — including indirect speech acts and pragmatic communication — developing frameworks for mixed reality interfaces in HRI, and exploring the ethical and moral dimensions of autonomous robots in social contexts. Williams has made particularly notable contributions to the emerging field of Virtual, Augmented, and Mixed Reality for HRI, co-founding the influential VAM-HRI workshop series and co-authoring a widely adopted survey that established shared terminology for the field (accumulating over 100 citations). His investigations into morally competent robots — examining how robots should handle noncompliance, deliver moral rebukes, and navigate social norms — have opened critical conversations about the societal implications of language-capable AI systems. His 2019 paper warning that such robots may inadvertently weaken human moral norms has proven especially thought-provoking. With multiple papers exceeding 60 citations and research spanning pandemic-era adaptations to HRI methodology, Williams has established himself as a versatile and ethically conscientious voice in robotics research.

Research Focus

Key Achievements

23
H-Index
115
Papers
1,770
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Where to Next? The Impact of COVID-19 on Human-Robot Interaction Research
105 citations · 2020
📈 Most Prolific Year: 2021 (18 Papers)
🤝 Key Collaborators: 155
🏛 Institutions: Colorado School of Mines, Tufts University, École Nationale Supérieure des Mines de Paris

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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