Bin picking: a review of recent developments

IF 1.9 4区计算机科学 Q3 ENGINEERING, INDUSTRIAL

Industrial Robot-The International Journal of Robotics Research and Application Pub Date : 2023-08-15 DOI:10.1108/ir-07-2023-0167

R. Bogue

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引用次数: 0

Abstract

Purpose The purpose of this paper is to provide an insight into the present-day state of bin picking by considering research, technology, products and applications. Design/methodology/approach Following a short introduction, this first provides examples of recent bin picking research. It then discusses a selection of commercial product developments and applications. Finally, brief conclusions are drawn. Findings Bin picking has the potential to eliminate repetitive, manual part handling practices in many sectors of the manufacturing and logistics industries. Systems combine robotic gripping and manipulation with machine vision and specialist software and tend to be complex to install and commission. They are produced by robot manufacturers, system integrators, software developers and machine vision specialists and all are constantly developing and improving the technology. These developments are supported by a strong academic research effort, much involving artificial intelligence methods, and while the technology is evolving rapidly, it is yet to reach the point where deployments are routine and widespread. Originality/value This provides a timely review of recent bin picking research and commercial developments.

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拾荒:回顾最近的发展

本文的目的是通过研究、技术、产品和应用来深入了解当前的垃圾箱拾取状况。设计/方法/方法在一个简短的介绍之后，这首先提供了最近的垃圾箱拾取研究的例子。然后讨论了商业产品开发和应用的选择。最后，得出了简要的结论。调查结果在制造和物流行业的许多部门中，bin拣选有可能消除重复的、人工的零件处理实践。该系统将机器人抓取和操作与机器视觉和专业软件相结合，安装和调试往往很复杂。它们由机器人制造商、系统集成商、软件开发商和机器视觉专家生产，所有人都在不断开发和改进这项技术。这些发展得到了强大的学术研究努力的支持，其中大部分涉及人工智能方法，尽管该技术正在迅速发展，但尚未达到常规部署和广泛部署的程度。原创性/价值这提供了一个及时的回顾，最近的垃圾桶拣拣研究和商业发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Industrial Robot-The International Journal of Robotics Research and Application 工程技术-工程：工业

CiteScore

4.50

自引率

16.70%

发文量

审稿时长

5.7 months

期刊介绍： Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.