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Supporting Long-Horizon Tasks in Human-Robot Collaboration by Aligning Intentions via Augmented Reality

Year: 2025

Type: conference-paper

Source: ACM/IEEE International Conference on Human-Robot Interaction (HRI)

DOI: 10.1109/hri61500.2025.10973947

Authors: Chenyang Ma, Yue Yang, Bryce Ikeda, Daniel Szafır

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Robot Manipulation and Learning

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4410296993

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