{"title":"Design and Analysis of a Lightweight Redundant-Degree-of-Freedom Fruit-Picking Robot Arm","authors":"Shangshang Cheng, Zhengwei Yu, Zhen Li, Qingru Fan, Shilei Lyu, Wei Wen, Zhou Yang","doi":"10.1002/rob.22545","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Labor shortages have become one of the primary challenges constraining the sustainable development of the fruit industry. The adoption of traditional multi-axis industrial-grade robotic arms for fruit picking has been limited due to issues related to efficiency and cost. This paper presents a lightweight PnP-P-R-P robotic arm that features a large workspace and an active leveling function, making it suitable for harvesting fruits such as apples and citrus. First, we establish the kinematic equations of the robotic arm and solve for the Jacobian condition number and manipulability index, showing that the workspace is free of singular points, thereby ensuring smooth operation. Next, we develop a dynamic model to analyze the performance of each joint under extreme working conditions. To adapt to practical operating environments, we simplify the forward and inverse kinematics calculations by utilizing planar spatial motion and propose a three-joint redundancy strategy for obstacle avoidance. Simulations and experimental tests reveal that the robotic arm has a vertical reach of 2.2 m and a depth of 1.3 m, with a continuous operation repeatability precision of ±5 mm when carrying a 2 kg end-effector payload. These results indicate that the robotic arm is well-suited for fruit-picking operations in both structured and unstructured orchard environments.</p>\n </div>","PeriodicalId":192,"journal":{"name":"Journal of Field Robotics","volume":"42 6","pages":"2815-2825"},"PeriodicalIF":5.2000,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Field Robotics","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rob.22545","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Labor shortages have become one of the primary challenges constraining the sustainable development of the fruit industry. The adoption of traditional multi-axis industrial-grade robotic arms for fruit picking has been limited due to issues related to efficiency and cost. This paper presents a lightweight PnP-P-R-P robotic arm that features a large workspace and an active leveling function, making it suitable for harvesting fruits such as apples and citrus. First, we establish the kinematic equations of the robotic arm and solve for the Jacobian condition number and manipulability index, showing that the workspace is free of singular points, thereby ensuring smooth operation. Next, we develop a dynamic model to analyze the performance of each joint under extreme working conditions. To adapt to practical operating environments, we simplify the forward and inverse kinematics calculations by utilizing planar spatial motion and propose a three-joint redundancy strategy for obstacle avoidance. Simulations and experimental tests reveal that the robotic arm has a vertical reach of 2.2 m and a depth of 1.3 m, with a continuous operation repeatability precision of ±5 mm when carrying a 2 kg end-effector payload. These results indicate that the robotic arm is well-suited for fruit-picking operations in both structured and unstructured orchard environments.
劳动力短缺已成为制约果业可持续发展的主要挑战之一。由于效率和成本问题,传统的多轴工业级机械臂在水果采摘中的应用受到了限制。本文提出了一种轻量级的pnp - p - p - r - p机械臂,该机械臂具有较大的工作空间和主动调平功能,适用于收获苹果和柑橘等水果。首先,建立了机械臂的运动方程,求解了雅可比条件数和可操作性指标,表明工作空间不存在奇异点,保证了机械臂的平稳运行。接下来,我们建立了一个动态模型来分析每个关节在极端工况下的性能。为了适应实际操作环境,利用平面空间运动简化了机器人的正逆运动学计算,提出了一种三关节冗余避障策略。仿真和实验测试表明,该机械臂在携带2 kg末端执行器载荷时,垂直伸达2.2 m,深度1.3 m,连续操作重复性精度为±5 mm。这些结果表明,机械臂非常适合在结构化和非结构化果园环境中采摘水果。
期刊介绍:
The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments.
The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.