PRogramAR: Augmented Reality End-User Robot Programming

Author:

Ikeda Bryce1,Szafir Daniel1

Affiliation:

1. University of North Carolina at Chapel Hill, USA

Abstract

The field of end-user robot programming seeks to develop methods that empower non-expert programmers to task and modify robot operations. In doing so, researchers may enhance robot flexibility and broaden the scope of robot deployments into the real world. We introduce PRogramAR (Programming Robots using Augmented Reality), a novel end-user robot programming system that combines the intuitive visual feedback of augmented reality (AR) with the simplistic and responsive paradigm of trigger-action programming (TAP) to facilitate human-robot collaboration. Through PRogramAR, users are able to rapidly author task rules and desired reactive robot behaviors, while specifying task constraints and observing program feedback contextualized directly in the real world. PRogramAR provides feedback by simulating the robot’s intended behavior and providing instant evaluation of TAP rule executability to help end-users better understand and debug their programs during development. In a system validation, 17 end-users ranging from ages 18 to 83 used PRogramAR to program a robot to assist them in completing three collaborative tasks. Our results demonstrate how merging the benefits of AR and TAP using elements from prior robot programming research into a single novel system can successfully enhance the robot programming process for non-expert users.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

Reference85 articles.

1. A Survey on End-User Robot Programming

2. Intuitive industrial robot programming through incremental multimodal language and augmented reality

3. Rasmus  S Andersen , Simon Bøgh , Thomas  B Moeslund , and Ole Madsen . 2016 . Task space HRI for cooperative mobile robots in fit-out operations inside ship superstructures . In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 880–887 . Rasmus S Andersen, Simon Bøgh, Thomas B Moeslund, and Ole Madsen. 2016. Task space HRI for cooperative mobile robots in fit-out operations inside ship superstructures. In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 880–887.

4. Robotic Autism Rehabilitation by Wearable Brain-Computer Interface and Augmented Reality

5. An Augmented Reality System to Support Fault Visualization in Industrial Robotic Tasks

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3