Houston Claure
Papers
11
Total Citations
165
H-Index
7
About
Houston Claure is a pioneering researcher at the intersection of human-robot interaction (HRI), multi-agent collaboration, and algorithmic fairness. His work addresses a critical gap in robotics: most prior research focused on one-on-one human-robot interaction, but Claure has pushed the field toward understanding how robots function within larger human teams. His most-cited work, "Robot-Assisted Tower Construction" (2020, 55 citations), introduced an innovative experimental paradigm for studying how a robot's resource allocation decisions shape interpersonal dynamics and group collaboration. Complementing this, his research on multi-armed bandit algorithms and reinforcement learning with fairness constraints (30 and 15 citations, respectively) offers principled computational frameworks ensuring robots distribute resources equitably among teammates — a contribution with broad implications for workplace robotics and team performance. Claure also explores how cultural norms influence telepresence robot interactions and how robotic touch is interpreted through social expectation frameworks. His 2022 workshop on fairness and transparency in HRI signals his growing leadership in shaping ethical design standards for social robots. With over 160 cumulative citations, Claure's research is shaping a future where robots are not only capable collaborators but genuinely fair and socially aware teammates.
Research Focus
Key Achievements
Top Papers
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- 3My Telepresence, My Culture?16 citations · 2018
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- 6Using Expectancy Violations Theory to Understand Robot Touch Interpretation11 citations · 2020
- 7Fairness and Transparency in Human-Robot Interaction7 citations · 2022
- 8Fairness Considerations for Enhanced Team Collaboration6 citations · 2021
- 9Interactive Vignettes: Enabling Large-Scale Interactive HRI Research5 citations · 2021
- 10