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arXiv 2303.05461cs.RO
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自动除草平台的可变自治方法

A Variable Autonomy approach for an Automated Weeding Platform

University of Lincoln(林肯大学)

Ionut Moraru, Tsvetan Zhivkov, Shaun Coutts, Dom Li, Elizabeth I. Sklar

摘要:

气候变化、世界人口增长和乌克兰战争导致英国等国家更加关注粮食安全,同时试图阻止生物多样性的下降,并减少依赖化学品的农业做法对人类健康造成的风险。同时实现这些目标将需要新的方法,并加快农业机器人从实验室到田间的部署。在本文中,我们描述了ARWAC机器人平台的机械除草。我们解释了为什么机械除草的方法是有益的相比,使用农药清除杂草从农田。此后,我们提出了系统设计和处理管道,用于生成机器人遵循的行动过程,以便它尽可能多地清除杂草。最后,我们提出了一个信任为基础的阶梯自治,将使用的基础上,用户的信心在机器人系统。

英文摘要:

Climate change, increase in world population and the war in Ukraine have led nations such as the UK to put a larger focus on food security, while simultaneously trying to halt declines in biodiversity and reduce risks to human health posed by chemically-reliant farming practices. Achieving these goals simultaneously will require novel approaches and accelerating the deployment of Agri-Robotics from the lab and into the field. In this paper we describe the ARWAC robot platform for mechanical weeding. We explain why the mechanical weeding approach is beneficial compared to the use of pesticides for removing weeds from crop fields. Thereafter, we present the system design and processing pipeline for generating a course of action for the robot to follow, such that it removes as many weeds as possible. Finally, we end by proposing a trust-based ladder of autonomy that will be used, based on the users' confidence in the robot system.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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