GEAR: Gaze-Enabled Human-Robot Collaborative Assembly
Abstract
Recent progress in robot autonomy and safety has significantly improved human-robot interactions, enabling robots to work alongside humans on various tasks. However, complex assembly tasks still present significant challenges due to inherent task variability and the need for precise operations. This work explores deploying robots in an assistive role for such tasks, where the robot assists by fetching parts while the skilled worker provides high-level guidance and performs the assembly. We introduce GEAR, a gaze-enabled system designed to enhance human-robot collaboration by allowing robots to respond to the user's gaze. We evaluate GEAR against a touch-based interface where users interact with the robot through a touchscreen. The experimental study involved 30 participants working on two distinct assembly scenarios of varying complexity. Results demonstrated that GEAR enabled participants to accomplish the assembly with reduced physical demand and effort compared to the touchscreen interface, especially for complex tasks, maintaining great performance, and receiving objects effectively. Participants also reported enhanced user experience while performing assembly tasks. Project page: sites.google.com/view/gear-hri
Keywords
Cite
@article{arxiv.2507.18947,
title = {GEAR: Gaze-Enabled Human-Robot Collaborative Assembly},
author = {Asad Ali Shahid and Angelo Moroncelli and Drazen Brscic and Takayuki Kanda and Loris Roveda},
journal= {arXiv preprint arXiv:2507.18947},
year = {2025}
}
Comments
Accepted for publication at 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)