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Safety Standards for Collision Avoidance Systems in Agricultural Robots - A Review

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ROBOT2022: Fifth Iberian Robotics Conference (ROBOT 2022)

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Abstract

To produce more food and tackle the labor scarcity, agriculture needs safer robots for repetitive and unsafe tasks (such as spraying). The interaction between humans and robots presents some challenges to ensure a certifiable safe collaboration between human-robot, a reliable system that does not damage goods and plants, in a context where the environment is mostly dynamic, due to the constant environment changes. A well-known solution to this problem is the implementation of real-time collision avoidance systems. This paper presents a global overview about state of the art methods implemented in the agricultural environment that ensure human-robot collaboration according to recognised industry standards. To complement are addressed the gaps and possible specifications that need to be clarified in future standards, taking into consideration the human-machine safety requirements for agricultural autonomous mobile robots.

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Notes

  1. 1.

    Eletro-Sensitive Protective Equipment.

  2. 2.

    Pressure-Sensitive Protective Equipment.

  3. 3.

    Real-time kinematic positioning (RTK) is a satellite navigation technique used to increase the accuracy of position data obtained by the global navigation satellite system (GNSS).

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Acknowledgement

This work is financed by Portugal 2020 through CCDR - Comissão de Coordenação e Desenvolvimento Regional do Norte, within project Norte-01-0247-FEDER-045289, and financed by the ERDF - European Regional Development Fund, through COMPETE 2020 Programme, within project SMARTCUT, with reference POCI-01-0247-FEDER-048183.

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Correspondence to João Jacob Martins .

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Martins, J.J., Silva, M., Santos, F. (2023). Safety Standards for Collision Avoidance Systems in Agricultural Robots - A Review. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-031-21065-5_11

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