Singh Jayant, Srinivasan Aravinda Ramakrishnan, Neumann Gerhard, Kucukyilmaz Ayse
IEEE Trans Haptics. 2020 Jan-Mar;13(1):246-252. doi: 10.1109/TOH.2020.2971485. Epub 2020 Feb 3.
In this article, we describe two techniques to enable haptic-guided teleoperation using 7-DoF cobot arms as master and slave devices. A shortcoming of using cobots as master-slave systems is the lack of force feedback at the master side. However, recent developments in cobot technologies have brought in affordable, flexible, and safe torque-controlled robot arms, which can be programmed to generate force feedback to mimic the operation of a haptic device. In this article, we use two Franka Emika Panda robot arms as a twin master-slave system to enable haptic-guided teleoperation. We propose a two layer mechanism to implement force feedback due to 1) object interactions in the slave workspace, and 2) virtual forces, e.g. those that can repel from static obstacles in the remote environment or provide task-related guidance forces. We present two different approaches for force rendering and conduct an experimental study to evaluate the performance and usability of these approaches in comparison to teleoperation without haptic guidance. Our results indicate that the proposed joint torque coupling method for rendering task forces improves energy requirements during haptic guided telemanipulation, providing realistic force feedback by accurately matching the slave torque readings at the master side.
在本文中,我们描述了两种使用7自由度协作机器人手臂作为主从设备来实现触觉引导遥操作的技术。将协作机器人用作主从系统的一个缺点是主端缺乏力反馈。然而,协作机器人技术的最新发展带来了价格实惠、灵活且安全的扭矩控制机器人手臂,这些手臂可以进行编程以生成力反馈,从而模拟触觉设备的操作。在本文中,我们使用两个弗兰克·埃米卡·潘达机器人手臂作为双主从系统来实现触觉引导遥操作。我们提出了一种两层机制来实现力反馈,这是由于1)从工作空间中的物体相互作用,以及2)虚拟力,例如那些可以排斥远程环境中的静态障碍物或提供与任务相关的引导力的虚拟力。我们提出了两种不同的力渲染方法,并进行了一项实验研究,以评估这些方法与无触觉引导的遥操作相比的性能和可用性。我们的结果表明,所提出的用于渲染任务力的关节扭矩耦合方法在触觉引导遥操作期间降低了能量需求,通过在主端精确匹配从端扭矩读数提供了逼真的力反馈。