论文标题
机器人感知的农业食品操纵：评论
Robotic Perception in Agri-food Manipulation: A Review
论文作者
论文摘要
为了更好地优化全球食品供应链，需要机器人解决方案来自动化人类目前完成的任务。也就是说，表型，质量分析和收获都是农业机器人技术领域中的开放问题。机器人感知是自治解决方案的关键挑战，例如场景理解和对象检测是机器人可能承担的任何掌握任务的重要先决条件。这项工作对现代机器人感知模型进行了简要审查，并讨论了它们在农业食品领域内的功效。
To better optimise the global food supply chain, robotic solutions are needed to automate tasks currently completed by humans. Namely, phenotyping, quality analysis and harvesting are all open problems in the field of agricultural robotics. Robotic perception is a key challenge for autonomous solutions to such problems as scene understanding and object detection are vital prerequisites to any grasping tasks that a robot may undertake. This work conducts a brief review of modern robot perception models and discusses their efficacy within the agri-food domain.
