DoraHand:一种具有触觉感应手指模块的新型灵巧手

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL
Tao Wang, Zheng Xie, Yuan Li, Yan Zhang, H. Zhang, F. Kirchner
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引用次数: 3

摘要

本研究旨在介绍DoraHand,并对其基本能力和性能进行验证。除了模块化设计和传感器设计的共享思想外,作者还希望为研究领域提供一种经济实用的灵巧手,为机器人操作领域做出贡献。DoraHand是一种新型的可扩展实用的模块化灵巧手,它采用模块化的手指和手掌设计,全驱动关节和触觉传感器,可以提高机器人操作的灵巧性,降低维护的复杂性。通过一系列的实验来验证手和传感器模块的性能。结果验证了DoraHand的参数,适合机器人操作领域的研究,并通过静态实验和滑移预测算法对其感知能力进行了测试。并通过实际应用验证了模块化设计和可扩展接口的优势。研究局限/启示作者继续改进DoraHand,并将其扩展到更多不同的应用程序。作者希望将DoraHand作为机器人操作领域的基础研究平台。实际意义DoraHand已被送往十多个不同的研究机构进行不同的研究应用。作者继续致力于这方面的工作,以获得更好的性能,更容易使用和更实惠。社会意义这种灵巧的手可以帮助研究人员摆脱复杂的物理问题,更多地关注算法部分;它有助于使机器人操作工作更受欢迎。DoraHand的关键设计是模块化的手指和传感模块。通过对机械和电气部分的特殊设计,构建了可靠的硬件,可以支持机器人操作领域的多样化要求。具有触觉感知能力的手以其可扩展性可用于更多的研究和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DoraHand: a novel dexterous hand with tactile sensing finger module
Purpose This study aims to introduce the DoraHand, and the basic capability and performance have been verified in this paper. Besides the idea of sharing modular design and sensor design, the authors want to deliver an affordable and practical dexterous hand to the research area to contribute to the robotic manipulation area. Design/methodology/approach This paper introduced the DoraHand, a novel scalable and practical modular dexterous hand, which, adopting modular finger and palm design, fully actuated joint and tactile sensors, can improve the dexterity for robotic manipulation and lower the complexity of maintenance. A series of experiments are delivered to verify the performance of the hand and sensor module. Findings The parameters of the DoraHand are verified and suitable for the research of robotics manipulation area, the sensing capability has been tested with the static experiment and the slip prediction algorithm. And, the advantage of modular design and extensible interface have been verified by the real application. Research limitations/implications The authors continue improving the DoraHand and extend it to more different applications. The authors want to make the DoraHand as a basic research platform in the robotic manipulation area. Practical implications The DoraHand has been sent to more than ten different research institutes for different research applications. The authors continue working on this hand for better performance, easier usage and more affordability. Social implications This kind of dexterous hand can help researchers get rid of complex physical issues and pay more attention to the algorithm part; it can help to make robotic manipulation work more popular. Originality/value The key design in the DoraHand is the modular finger and sensing module. With the special design in mechanical and electrical parts, the authors build reliable hardware and can support the diversity requirement in the robotic manipulation area. The hand with tactile sensing capability can be used in more research and applications with its extensibility.
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
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.
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