CoboGuider: Haptic Potential Fields for Safe Human-Robot Interaction
Viktor Rakhmatulin, Miguel Altamirano Cabrera, Fikre Hagos, Oleg, Sautenkov, Jonathan Tirado, Ighor Uzhinsky, and Dzmitry Tsetserukou

TL;DR
This paper introduces CoboGuider, a haptic feedback system that enhances safety in human-robot collaboration by providing tactile warnings, significantly increasing the minimum separation distance and reducing safety failures during tasks.
Contribution
The paper presents a novel haptic feedback approach integrated into SSM to improve safety and human response in collaborative robotic tasks.
Findings
Haptic feedback increased minimum separation distance by 44%.
Participants with haptic support maintained safer distances.
Without haptic feedback, participants failed to maintain safety.
Abstract
Modern industry still relies on manual manufacturing operations and safe human-robot interaction is of great interest nowadays. Speed and Separation Monitoring (SSM) allows close and efficient collaborative scenarios by maintaining a protective separation distance during robot operation. The paper focuses on a novel approach to strengthen the SSM safety requirements by introducing haptic feedback to a robotic cell worker. Tactile stimuli provide early warning of dangerous movements and proximity to the robot, based on the human reaction time and instantaneous velocities of robot and operator. A preliminary experiment was performed to identify the reaction time of participants when they are exposed to tactile stimuli in a collaborative environment with controlled conditions. In a second experiment, we evaluated our approach into a study case where human worker and cobot performed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman-Automation Interaction and Safety · EEG and Brain-Computer Interfaces · Muscle activation and electromyography studies
