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20172026
most citedTowards an LLM-Based Speech Interface for Robot-Assisted Feeding

4 citations · 7 across the 14 of their papers we have counts for

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15 papers · 1 filter

cs.RO2026

Teaching Robot Policies to Humans Using Erroneous Examples

Rithika Narayan, Suresh Kumaar Jayaraman, Henny Admoni

Human-robot collaboration describes the process of humans and autonomous agents working together to accomplish common goals. This process is facilitated best when robot policies, o…

cs.RO2025

Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence

Pranay Gupta, Henny Admoni, Andrea Bajcsy

End-to-end visuomotor policies trained using behavior cloning have shown a remarkable ability to generate complex, multi-modal low-level robot behaviors. However, at deployment tim…

cs.RO2025

Bi-Directional Mental Model Reconciliation for Human-Robot Interaction with Large Language Models

Nina Moorman, Michelle Zhao, Matthew B. Luebbers +5

In human-robot interactions, human and robot agents maintain internal mental models of their environment, their shared task, and each other. The accuracy of these representations d…

cs.RO20251 cited

The Sense of Agency in Assistive Robotics Using Shared Autonomy

Maggie A. Collier, Rithika Narayan, Henny Admoni

Sense of agency is one factor that influences people's preferences for robot assistance and a phenomenon from cognitive science that represents the experience of control over one's…

cs.RO20244 cited

Towards an LLM-Based Speech Interface for Robot-Assisted Feeding

Jessie Yuan, Janavi Gupta, Akhil Padmanabha +4

Physically assistive robots present an opportunity to significantly increase the well-being and independence of individuals with motor impairments or other forms of disability who…

cs.RO2024

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback

Michelle Zhao, Reid Simmons, Henny Admoni +2

In interactive imitation learning (IL), uncertainty quantification offers a way for the learner (i.e. robot) to contend with distribution shifts encountered during deployment by ac…