首页 /研究 /Robotic Herding of Farm Animals Using a Network of Barking Aerial Drones
OTHER

Robotic Herding of Farm Animals Using a Network of Barking Aerial Drones

Xiaohui Li, Hailong Huang, Andrey V. Savkin, Jian Zhang

发表年份
2022
引用次数
42
访问权限
开放获取

摘要

This paper proposes a novel robotic animal herding system based on a network of autonomous barking drones. The objective of such a system is to replace traditional herding methods (e.g., dogs) so that a large number (e.g., thousands) of farm animals such as sheep can be quickly collected from a sparse status and then driven to a designated location (e.g., a sheepfold). In this paper, we particularly focus on the motion control of the barking drones. To this end, a computationally efficient sliding mode based control algorithm is developed, which navigates the drones to track the moving boundary of the animals’ footprint and enables the drones to avoid collisions with others. Extensive computer simulations, where the dynamics of the animals follow Reynolds’ rules, show the effectiveness of the proposed approach.

关键词

HerdingDroneFootprintFocus (optics)Artificial intelligenceComputer scienceReal-time computingGeography

相关论文

查看 OTHER 分类全部论文