Lessons Learned in Quadruped Deployment in Livestock Farming

TL;DR

This paper discusses the deployment of quadruped robots in livestock farming, highlighting lessons learned from the SELF-AIR project that utilizes AI and autonomous navigation to improve farm management.

Contribution

It introduces the application of field robotics in livestock farming and shares practical insights from deploying quadruped robots in real-world agricultural settings.

Findings

Robots effectively navigate diverse terrains.

Enhanced herd monitoring capabilities.

Insights into challenges and solutions in robot deployment.

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.