机器人操作任务中基于增强现实的远程呈现:实验评估

IF 2.5 Q2 ENGINEERING, INDUSTRIAL IET Collaborative Intelligent Manufacturing Pub Date : 2023-10-19 DOI:10.1049/cim2.12085
Thomas A. B. de Boer, Joost C. F. de Winter, Yke Bauke Eisma
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引用次数: 0

摘要

研究了人机交互中的一系列控制方法,从直接控制到机器人手臂的虚拟呈现。共有24名参与者使用了包括Franka Emika Panda机械臂、Varjo XR-3头戴式显示器和Leap Motion Controller在内的设置。参与者使用徒手(a)和五种手势控制的机器人操作方法执行框块任务:直接视觉(B)、通过视频馈通进行视觉(C)、在具有(D)和不具有(E)机械臂虚拟表示的3D遥现环境中以及使用2D视频馈通(F)。不同条件下的抓取尝试次数没有显著差异,但本地操作(B&;C)比远程操作(D-F)产生更多的转移块。与使用2D视频馈送的远程操作相比,使用3D演示的远程操作是有利的,如与条件F相比,在条件D和E下较低的峰值力和较小的夹持器高度范围所示,这一发现得到了头部运动活动分析的支持。最后,徒手获得了最好的表现和主观评分。总之,使用3D呈现的远程操作比使用2D视频馈送的远程操作提供了更平滑的交互。然而,人类直接互动仍然是一个有待超越的基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Augmented reality-based telepresence in a robotic manipulation task: An experimental evaluation

A spectrum of control methods in human–robot interaction was investigated, ranging from direct control to telepresence with a virtual representation of the robot arm. A total of 24 participants used a setup that included a Franka Emika Panda robot arm, Varjo XR-3 head-mounted display, and Leap Motion Controller. Participants performed a box-and-block task using the bare hand (A), and under five gesture-controlled robotic operation methods: direct sight (B), sight via video-feedthrough (C), in a 3D telepresence environment with (D) and without (E) virtual representation of the robot arm, and using a 2D video feed (F). The number of grabbing attempts did not differ significantly between conditions, but local operation (B & C) yielded more transferred blocks than teleoperation (D–F). Teleoperation using a 3D presentation was advantageous compared to teleoperation using a 2D video feed, as demonstrated by lower peak forces and smaller range in gripper heights in conditions D and E compared to condition F, a finding supported by analyses of the head movement activity. Finally, the bare hand yielded the best performance and subjective ratings. In summary, teleoperation using a 3D presentation provided a smoother interaction than teleoperation with a 2D video feed. However, direct human interaction remains a benchmark yet to surpass.

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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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