Lessons Learned in Quadruped Deployment in Livestock Farming
Lessons Learned in Quadruped Deployment in Livestock Farming
著者: Francisco J. Rodríguez-Lera, Miguel A. González-Santamarta, Jose Manuel Gonzalo Orden, Camino Fernández-Llamas, Vicente Matellán-Olivera, Lidia Sánchez-González
分類: cs.RO
原文アブストラクト
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.