Lessons Learned in Quadruped Deployment in Livestock Farming
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916221419520000 |
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| author | Rodríguez-Lera, Francisco J. González-Santamarta, Miguel A. Orden, Jose Manuel Gonzalo Fernández-Llamas, Camino Matellán-Olivera, Vicente Sánchez-González, Lidia |
| author_facet | Rodríguez-Lera, Francisco J. González-Santamarta, Miguel A. Orden, Jose Manuel Gonzalo Fernández-Llamas, Camino Matellán-Olivera, Vicente Sánchez-González, Lidia |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_16008 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Lessons Learned in Quadruped Deployment in Livestock Farming Rodríguez-Lera, Francisco J. González-Santamarta, Miguel A. Orden, Jose Manuel Gonzalo Fernández-Llamas, Camino Matellán-Olivera, Vicente Sánchez-González, Lidia Robotics 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. |
| title | Lessons Learned in Quadruped Deployment in Livestock Farming |
| topic | Robotics |
| url | https://arxiv.org/abs/2404.16008 |