Human-Robot Collision Analysis in Gazebo Environment

Physical injuries resulting from collisions between people and moving robots are prevalent in automated manufacturing settings. To prevent hazardous situations, it is crucial to use appropriate simulation models of human actors during a design stage of production processes. This paper investigates an issue of human-robot interaction (HRI) safety and considers collision modeling within the Gazebo simulation environment. We evaluate a suitability of three existing human models: the standard Gazebo actor, the Gazebo actor with a collisions plugin, and the AR-601M robot-based human model, for use in scenarios involving collisions with moving physical objects. The study reveals significant differences in performance of these models, highlighting a need for accurate simulation tools in assessing and improving safety in human-robot interactions.

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1109/icct62929.2024.10874932
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.50

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article

Human-Robot Collision Analysis in Gazebo Environment

Aidar Zagirov, Elvira Chebotareva, Sergey Igorevich Osokin
2 citations
Robotic Path Planning Algorithms
0.50
article

Human-Robot Collision Analysis in Gazebo Environment

Aidar Zagirov, Elvira Chebotareva, Sergey Igorevich Osokin
article en
2 citations

Abstract

Physical injuries resulting from collisions between people and moving robots are prevalent in automated manufacturing settings. To prevent hazardous situations, it is crucial to use appropriate simulation models of human actors during a design stage of production processes. This paper investigates an issue of human-robot interaction (HRI) safety and considers collision modeling within the Gazebo simulation environment. We evaluate a suitability of three existing human models: the standard Gazebo actor, the Gazebo actor with a collisions plugin, and the AR-601M robot-based human model, for use in scenarios involving collisions with moving physical objects. The study reveals significant differences in performance of these models, highlighting a need for accurate simulation tools in assessing and improving safety in human-robot interactions.

Kazan Federal University (RU)
Kazan Federal University
Climate action
Openalex Percentile: Top 32%
Robotic Path Planning Algorithms
0.50
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