双侧遥操作无传感器自适应触觉辅助的用户研究

Jorge Sofrony Esmeral, Tobias Ring
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引用次数: 0

摘要

提出了一种用于远程机器人双向共享控制的无传感器触觉自适应辅助方案。本文重点介绍了先前在主侧使用力传感器开发的自适应辅助方案的实施,并将其扩展到不再可用这种测量的情况。实验装置由一个虚拟的从机器人和一个真实的主机器人(一种商用货架,低成本的触觉设备)组成,即Novint Falcon触觉设备。由于缺乏传感器来测量人类操作者与触觉控制装置之间的接触力,即仅测量主机器人的位置,因此提出了一种数据驱动的未知输入观测器,该观测器具有扰动估计增强功能,允许在植物不确定性和外部干扰下估计(外部)人的力。通过路径跟踪(已知)与(未知)避障任务对该方法进行了测试,并对该方法的有效性进行了统计分析。
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User study of sensorless adaptive haptic assistance for bilateral teleoperation
This paper presents a sensor-less haptic adaptive assistance scheme for bilateral shared controlled in telerobotics. The paper focuses on the implementation of an adaptive assistance scheme previously developed using force sensors at the master’s side, extending it to the case where this measurement is no longer available. The experimental setup was composed of a virtual slave robot and a real master robot (a commercially-of-the-shelf, low-cost haptic device), namely the Novint Falcon haptic device. Due to the lack of sensors to measure the contact force between the human operator and the haptic control device i.e., only the position of the master robot is measured, a data-driven Unknown Input Observer with disturbance estimation augmentation is proposed, allowing the estimation of the (external) human force under plant uncertainty and external disturbances. The proposed approach is tested via a path tracking (known) with (unknown) obstacle avoidance task, and statistical analysis regarding the scheme’s effectiveness is presented.
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