基于听觉反馈的操纵杆机械臂遥操作的主观难度和性能指标

N. Mavridis, G. Pierris, P. Gallina, N. Moustakas, A. Astaras
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引用次数: 11

摘要

基于操纵杆的远程操作是远程控制各种类型机器人的主要方法,如挖掘机、起重机和空间远程机器人。我们的最终目标是创造有效的方法来训练和评估操纵杆控制机器人的人类操作员。为了实现这一目标,一项广泛的研究由38个实验对象组成,包括模拟机器人和物理机器人,使用无反馈或听觉反馈。在本文中,我们提出了完整的实验设置,我们只报告了18个实验对象远程操作模拟机器人。记录了多个观察结果,不仅包括操纵杆和机器人的角度和时间,还包括难度、个性和可用性数据的主观测量,以及受试者面部表情和眨眼频率的自动分析。我们的初步研究结果表明:第一,有听觉反馈的遥操作主观难度与无反馈的遥操作主观难度差异较小。第二,任务的主观难度与任务完成时间的对数呈线性相关。第三,我们引入了操作员性能的两个重要指标,即机器人关节的平均速度(AVRJ)和操纵杆的正误方向比(CWJR),并展示了它们与积累的用户体验和任务时间的关系。最后,我们进行前瞻性讨论,包括今后的步骤。
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Subjective difficulty and indicators of performance of joystick-based robot arm teleoperation with auditory feedback
Joystick-based teleoperation is a dominant method for remotely controlling various types of robots, such as excavators, cranes, and space telerobotics. Our ultimate goal is to create effective methods for training and assessing human operators of joystick-controlled robots. Towards that goal, an extensive study consisting of a total of 38 experimental subjects on both simulated as well as a physical robot, using either no feedback or auditory feedback, has been performed. In this paper, we present the complete experimental setup and we report only on the 18 experimental subjects teleoperating the simulated robot. Multiple observables were recorded, including not only joystick and robot angles and timings, but also subjective measures of difficulty, personality and usability data, and automated analysis of facial expressions and blink rate of the subjects. Our initial results indicate that: First, that the subjective difficulty of teleoperation with auditory feedback has smaller variance as compared to teleoperation without feedback. Second, that the subjective difficulty of a task is linearly related with the logarithm of task completion time. Third, we introduce two important indicators of operator performance, namely the Average Velocity of Robot Joints (AVRJ), and the Correct-to-Wrong-Joystick Direction Ratio (CWJR), and we show how these relate to accumulated user experience and with task time. We conclude with a forward-looking discussion including future steps.
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