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20242026
most citedUnderstanding Large-Language Model (LLM)-powered Human-Robot Interaction

143 citations · 171 across the 3 of their papers we have counts for

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cs.RO2026

Elements of Robot Morphology: Supporting Designers in Robot Form Exploration

Amy Koike, Serena Ge Guo, Xinning He +3

Robot morphology, the form, shape, and structure of robots, is a key design space in human-robot interaction (HRI), shaping how robots function, express themselves, and interact wi…

cs.RO2024

REX: Designing User-centered Repair and Explanations to Address Robot Failures

Christine P Lee, Pragathi Praveena, Bilge Mutlu

Robots in real-world environments continuously engage with multiple users and encounter changes that lead to unexpected conflicts in fulfilling user requests. Recent technical adva…

cs.RO202413 cited

Toward Family-Robot Interactions: A Family-Centered Framework in HRI

Bengisu Cagiltay, Bilge Mutlu

As robotic products become more integrated into daily life, there is a greater need to understand authentic and real-world human-robot interactions to inform product design. Across…

cs.RO202415 cited

Sprout: Designing Expressivity for Robots Using Fiber-Embedded Actuator

Amy Koike, Michael Wehner, Bilge Mutlu

In this paper, we explore how techniques from soft robotics can help create a new form of robot expression. We present Sprout, a soft expressive robot that conveys its internal sta…

cs.RO2024143 cited

Understanding Large-Language Model (LLM)-powered Human-Robot Interaction

Callie Y. Kim, Christine P. Lee, Bilge Mutlu

Large-language models (LLMs) hold significant promise in improving human-robot interaction, offering advanced conversational skills and versatility in managing diverse, open-ended…