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Lessons Learned in Quadruped Deployment in Livestock Farming

2024-04-24 17:40:36
Francisco J. Rodríguez-Lera, Miguel A. González-Santamarta, Jose Manuel Gonzalo Orden, Camino Fernández-Llamas, Vicente Matellán-Olivera, Lidia Sánchez-González

Abstract

The livestock industry faces several challenges, including labor-intensive management, the threat of predators and environmental sustainability concerns. Therefore, this paper explores the integration of quadruped robots in extensive livestock farming as a novel application of field robotics. The SELF-AIR project, an acronym for Supporting Extensive Livestock Farming with the use of Autonomous Intelligent Robots, exemplifies this innovative approach. Through advanced sensors, artificial intelligence, and autonomous navigation systems, these robots exhibit remarkable capabilities in navigating diverse terrains, monitoring large herds, and aiding in various farming tasks. This work provides insight into the SELF-AIR project, presenting the lessons learned.

Abstract (translated)

畜牧业面临着几个挑战,包括劳动密集管理、捕食者的威胁和环境可持续性问题。因此,本文探讨了在放养畜牧业中集成四足机器人的新型应用,作为场机器人技术的一种创新。SELF-AIR项目,即使用智能机器人支持放养畜牧业的缩写,体现了这种创新方法。通过先进的传感器、人工智能和自主导航系统,这些机器人表现出在复杂地形中导航、监测大规模群牛和协助各种农场任务的非凡能力。本工作提供了对SELF-AIR项目的了解,分享了其中的经验教训。

URL

https://arxiv.org/abs/2404.16008

PDF

https://arxiv.org/pdf/2404.16008.pdf


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