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Assessing the probability of human injury during UV-C treatment of crops by robots

Leonardo Guevara, Muhammad Irfan Khalid, Marc Hanheide, Simon Parsons

Year
2021
Citations
2

Abstract

This paper describes a hazard analysis for an agricultural scenario where a crop is treated by a robot using UV-C light. Although human-robot interactions are not expected, it may be the case that unauthorized people approach the robot while it is operating. These potential human-robot interactions have been identified and modeled as Markov Decision Processes (MDP) and tested in the model checking tool PRISM.

Keywords

RobotHazardComputer scienceHuman–robot interactionMarkov decision processArtificial intelligenceMarkov chainComputer visionMarkov processHuman–computer interaction

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