迈向可靠且无损伤的机器人易碎水果抓取:受亚洲象鼻子启发的多模式包络式抓取器

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-07-01 Epub Date: 2025-03-10 DOI:10.1016/j.compag.2025.110198
Qingyu Wang , Kaixin Bai , Lei Zhang , Zhizhong Sun , Tianze Jia , Dong Hu , Qiang Li , Jianwei Zhang , Alois Knoll , Huanyu Jiang , Mingchuan Zhou , Yibin Ying
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引用次数: 0

摘要

水果的上传和包装是采后工业中劳动密集型和耗时的步骤,涉及到连续的采摘和放置操作。在这种情况下,我们的目标是用机器人抓取取代人工工作。然而,对于机器人易碎水果抓取来说,在保证抓取可靠性的同时减少早期擦伤是一个主要的难点。在本研究中,我们的目标是解决这一问题,实现可靠、无损伤的机器人易碎水果抓取。摘要根据亚洲象鼻子的结构及进食行为,设计了一种仿生气动软爪,并提出了一种多模态抓取策略。与亚洲象的鼻子相似,夹持器有两个设计的梯形气室来控制两个独立的部分,包括指尖状的过程和包膜结构。以较大的接触面积、较小的接触力和较大的拉拔力来模拟包络抓取行为。将视觉-触觉多模态抓取策略集成到机器人抓取系统中。开发了定位和抓姿估计的视觉模态。采用触觉方式进行抓握姿态确定和闭环抓握力控制。在包络夹持器实验中,最大接触力为0.7083 N,最大拔离力为7.959 N,达到了较好的平衡。采用多模态抓取策略,抓取成功率提高4.23%至96.70%。在抓力闭环控制中,稳态误差平均值为0.0856 N,最大超调量平均值为26.43%。空间频域成像(SFDI)实验证明了我们的包络夹持器在减少早期瘀伤方面的有效性。在一定程度上,采用多模态策略设计的包络夹持器可以实现可靠、无损伤的易碎水果夹持,在水果采后行业中具有广阔的应用前景。
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Towards reliable and damage-less robotic fragile fruit grasping: An enveloping gripper with multimodal strategy inspired by Asian elephant trunk
Fruit uploading and packaging are labor-intensive and time-consuming steps in postharvest industry, which involve continuous pick-and-place manipulation. In this case, we aim to replace manual working with robotic grasping. However, for robotic fragile fruit grasping, the main difficulty is to reduce early stage bruise while maintaining the grasping reliability. In this study, we aim to solve this problem and achieve reliable and damage-less robotic fragile fruit grasping. Inspired by the structure of the Asian elephant trunk with its feeding behavior, a bionic and pneumatic soft gripper was designed, and a multimodal grasping strategy was proposed. Similar with Asian elephant trunk, the gripper has two designed trapezoid air chambers to control the two individual parts, including fingertip-like process and enveloping structure. Enveloping grasping behavior was imitated with larger area of contact, less contact force, and larger pull off force. A visuo-tactile multimodal grasping strategy was integrated into the robotic grasping system. The visual modality was developed for positioning and grasp pose estimation. The tactile modality was employed for grasping pose confirmation and closed-loop grasping force control. In the experiment on the enveloping gripper, the maximum contact force and the pull off force reached a good balance and were 0.7083 N and 7.959 N, respectively. With the proposed multimodal grasping strategy, the grasping success rate increased 4.23 % to 96.70 %. As for closed-loop control of the grasping force, the average value for steady-state error and maximum overshoot were 0.0856 N and 26.43 %, respectively. The experiment on Spatial Frequency Domain Imaging (SFDI) demonstrated the effectiveness of our enveloping gripper in reducing the early stage bruise. To some extent, the designed enveloping gripper with the proposed multimodal strategy could achieve reliable and damage-less fragile fruit grasping, which is promising in fruit postharvest industry.
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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