培养合格的机器人学徒:让协作机器人主动排除故障

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Christopher Thierauf, Theresa Law, Tyler M. Frasca, Matthias Scheutz
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引用次数: 0

摘要

要使机器人成为有效的学徒和合作者,它们必须表现出一定程度的自主性,例如,在人类队友的帮助下识别失败并找出解决方法。在这篇系统论文中,我们为 "机器人学徒 "提出了一个综合认知机器人架构,该架构能够评估自身性能、识别任务执行失败、与人类沟通并在可能的情况下解决这些问题。我们通过一系列演示展示了我们提出的架构的能力,并通过在线用户研究证实,与不具备这些能力的机器人相比,人们更喜欢我们的机器人学徒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Competent Robot Apprentices: Enabling Proactive Troubleshooting in Collaborative Robots
For robots to become effective apprentices and collaborators, they must exhibit some level of autonomy, for example, recognizing failures and identifying ways to address them with the aid of their human teammates. In this systems paper, we present an integrated cognitive robotic architecture for a “robot apprentice” that is capable of assessing its own performance, identifying task execution failures, communicating them to humans, and resolving them, if possible. We demonstrate the capabilities of our proposed architecture with a series of demonstrations and confirm with an online user study that people prefer our robot apprentice compared to robots without those capabilities.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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