Towards Safety in Open-field Agricultural Robotic Applications: A Method for Human Risk Assessment using Classifiers

Mayoral, C. Mayoral, Grimstad, Lars, From, Pål J. and Cielniak, Grzegorz (2022) Towards Safety in Open-field Agricultural Robotic Applications: A Method for Human Risk Assessment using Classifiers. In: 2022 15th International Conference on Human System Interaction (HSI).

Full content URL: https://doi.org/10.1109/HSI55341.2022.9869472

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Towards Safety in Open-field Agricultural Robotic Applications: A Method for Human Risk Assessment using Classifiers
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Abstract

Tractors and heavy machinery have been used for decades to improve the quality and overall agriculture production. Moreover, agriculture is becoming a trend domain for robotics, and as a consequence, the efforts towards automatizing agricultural task increases year by year. However, for autonomous applications, accident prevention is of prior importance for warrantying human safety during operation in any scenario. This paper rephrases human safety as a classification problem using a custom distance criterion where each detected human gets a risk level classification. We propose the use of a neural network trained to detect and classify humans in the scene according to these criteria. The proposed approach learns from real-world data corresponding to an open-field scenario and is assessed with a custom risk assessment method.

Keywords:human safety, autonomous robots, risk assessment in robotics
Subjects:H Engineering > H670 Robotics and Cybernetics
H Engineering > H671 Robotics
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
ID Code:52846
Deposited On:15 Feb 2023 12:22

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