Advanced Robotic System for Efficient Pick-and-Place of Deformable Poultry in Cluttered Bin: A Comprehensive Evaluation Approach

Rekha Raja;Akshay K. Burusa;Gert Kootstra;Eldert J. Van Henten
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Abstract

This research article presents an advanced robotic system designed for efficient pick-and-place of deformable poultry pieces from cluttered bins. The system incorporates a novel architecture with seamless integration of various modules, enabling the robot to handle deformable poultry with precision. It introduces a comprehensive evaluation approach to assess the system's performance, considering perception, state modeling, planning and control, gripping and manipulation. The experiments were conducted on two different samples of chicken pieces with varying weights and shapes, under complex and simple scenarios. Performance indicators, failure categories, and cycle time were used for evaluation. The evaluation revealed an overall success rate of 49.4% for picking and placing chicken pieces, with failure rates of 21.8% for perception, 30.7% for gripping, and 11% for manipulation modules. These results highlight areas of improvement, particularly in object detection, grasp pose estimation in clutter, and gripper designs for deformable products, to create a robust pick-and-place solution. The proposed robotic system and evaluation method hold immense potential for revolutionizing the meat processing industry and other food processing sectors, making automation more efficient and adaptable to meet the increasing demand in the food industry.
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用于在杂乱的垃圾箱中高效取放可变形家禽的先进机器人系统:综合评估方法
这篇研究文章介绍了一种先进的机器人系统,设计用于从杂乱的货仓中高效地拾取和放置可变形的家禽块。该系统采用新颖的结构,无缝集成了各种模块,使机器人能够精确地处理可变形的家禽。它引入了一种综合评估方法来评估系统的性能,包括感知、状态建模、规划和控制、抓取和操纵。实验在复杂和简单场景下对两种不同重量和形状的鸡块样本进行。评估采用了性能指标、故障类别和周期时间。评估结果显示,拾取和放置鸡块的总体成功率为 49.4%,感知、抓取和操作模块的失败率分别为 21.8%、30.7% 和 11%。这些结果凸显了需要改进的地方,特别是在物体检测、杂波中的抓取姿势估计以及针对可变形产品的抓手设计等方面,以创建一个强大的拾放解决方案。拟议的机器人系统和评估方法具有巨大的潜力,可彻底改变肉类加工业和其他食品加工行业,使自动化更加高效、适应性更强,以满足食品行业日益增长的需求。
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2024 Index IEEE Transactions on AgriFood Electronics Vol. 2 Table of Contents Front Cover IEEE Circuits and Systems Society Information IEEE Circuits and Systems Society Information
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