Dormant pruning of fruit trees is an important task for maintaining tree health and ensuring high-quality fruit. Due to decreasing labor availability, pruning is a prime candidate for robotic automation. However, pruning also represents a uniquely difficult problem for robots, requiring robust systems for perception, pruning point determination, and manipulation that must operate under variable lighting conditions and in complex, highly unstructured environments. In this paper, we introduce a system for pruning sweet cherry trees (in a planar tree architecture called an upright fruiting offshoot configuration) that integrates various subsystems from our previous work on perception and manipulation. The resulting system is capable of operating completely autonomously and requires minimal control of the environment. We validate the performance of our system through field trials in a sweet cherry orchard, ultimately achieving a cutting success rate of 58%. Though not fully robust and requiring improvements in throughput, our system is the first to operate on fruit trees and represents a useful base platform to be improved in the future.
翻译:果树的多曼特裁剪是维护树木健康和确保高质量水果的重要任务。 由于劳动力供应减少,裁剪是机器人自动化的首要选择。 然而,裁剪也是机器人面临的一个独特难题,需要强大的视觉系统、裁剪点的确定和操作操作,必须在不同照明条件下和复杂、高度结构化的环境中运作。在本文中,我们引入了切除甜樱树的系统(在平板树结构中,称为直立的果实场场外配置),将我们先前关于感知和操纵的工作的各种子系统整合起来。由此产生的系统能够完全自主地运作,需要对环境进行最低限度的控制。我们通过在甜樱桃园的实地试验来验证我们的系统绩效,最终实现58%的削减成功率。尽管我们系统并不完全健全,需要改进产出,但我们的系统是第一个在果树上运行的系统,并且是未来需要改进的有用基础平台。