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arXiv 2312.00175cs.ROcs.SYeess.SY

农业中软体抓取技术的进展

Advances in soft grasping in agriculture

Wageningen University & Research(瓦赫宁根大学与研究中心)

Ali Leylavi Shoushtari

AI总结:

本文回顾了用于农业收获与抓取的软体抓手,分析其在处理安全性和作物高变异性适应方面的成功程度,并为农业软体机器人的系统化设计提出未来方向。

摘要:

农业机器人与自动化正面临一些挑战,这些挑战源于产品的高度变异性、任务复杂性、作物质量要求以及茂密植被。这一系列挑战要求机器人系统具备更强的多功能性和安全性。软体机器人学是一个年轻但前景广阔的研究领域,旨在增强当前刚性机器人在这些方面的表现,使其成为应对上述挑战的良好候选解决方案。总体而言,该领域旨在赋予机器人和机器自适应运动能力(Ansari et al., 2015)、安全且自适应的操作能力(Arleo et al., 2020)以及多功能抓取能力(Langowski et al., 2020)。但在农业中,软体机器人主要用于收获任务,更具体地说是用于抓取。在本章中,我们回顾了一组用于处理和收获作物的候选软体抓手,重点关注农业挑战,即处理安全性以及对作物高度变异的适应性。该回顾旨在展示软体抓手为何以及在多大程度上成功处理了农业任务。对结果进行的分析为农业任务中软体机器人的系统化设计提供了未来方向。

英文摘要:

Agricultural robotics and automation are facing some challenges rooted in the high variability 9 of products, task complexity, crop quality requirement, and dense vegetation. Such a set of 10 challenges demands a more versatile and safe robotic system. Soft robotics is a young yet 11 promising field of research aimed to enhance these aspects of current rigid robots which 12 makes it a good candidate solution for that challenge. In general, it aimed to provide robots 13 and machines with adaptive locomotion (Ansari et al., 2015), safe and adaptive manipulation 14 (Arleo et al., 2020) and versatile grasping (Langowski et al., 2020). But in agriculture, soft 15 robots have been mainly used in harvesting tasks and more specifically in grasping. In this 16 chapter, we review a candidate group of soft grippers that were used for handling and 17 harvesting crops regarding agricultural challenges i.e. safety in handling and adaptability to 18 the high variation of crops. The review is aimed to show why and to what extent soft grippers 19 have been successful in handling agricultural tasks. The analysis carried out on the results 20 provides future directions for the systematic design of soft robots in agricultural tasks.

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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