集成抓取控制器利用光学接近传感器实现同时接触、减少冲击和力控制

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Shunsuke Tokiwa;Hikaru Arita;Yosuke Suzuki;Kenji Tahara
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引用次数: 0

摘要

对于机器手来说,抓取未知物体是一件非常困难的事情。在未知物体特征的情况下,如何规划手指缩窄的速度和宽度是一个难题。在这封信中,我们提出了一种方法来实现手指同时接触、减少冲击力和控制接触力这三种功能,从而有效地抓取未知物体。我们通过使用一种称为基于多重虚拟动力学控制的控制框架来实现这一目标,该框架是在之前的一项研究中提出的。这种控制方式的优势在于无需切换控制法则即可实现多种功能。之前的研究通过两层阻抗控制实现了减少冲击力和控制接触力这两种功能,这两层阻抗控制分别独立应用于各个手指。在这封信中,提出了一种综合处理多个手指的虚拟动力学新思路,在不影响其他两个功能的情况下实现了同时接触的功能。这项研究提供了一种利用接近传感器实现精细抓取的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Grasping Controller Leveraging Optical Proximity Sensors for Simultaneous Contact, Impact Reduction, and Force Control
Grasping an unknown object is difficult for robot hands. When the characteristics of the object are unknown, knowing how to plan the speed at and width to which the fingers are narrowed is difficult. In this letter, we propose a method to realize the three functions of simultaneous finger contact, impact reduction, and contact force control, which enable effective grasping of an unknown object. We accomplish this by using a control framework called multiple virtual dynamics-based control, which was proposed in a previous study. The advantage of this control is that multiple functions can be realized without switching control laws. The previous study achieved two functions, impact reduction and contact force control, with a two layers of impedance control which was applied independently to individual fingers. In this letter, a new idea of virtual dynamics that treats multiple fingers comprehensively is introduced, which enables the function of simultaneous contact without compromising the other two functions. This research provides a method to achieve delicate grasping by using proximity sensors.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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