arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.01544cs.ROcs.HC
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“你能做到吗?“任务之前、期间和之后与自主机器人的自我评估对话

"Can you do this?" Self-Assessment Dialogues with Autonomous Robots Before, During, and After a Mission

Tufts University(塔夫茨大学)

Tyler Frasca, Evan Krause, Ravenna Thielstrom, Matthias Scheutz

摘要:

具有复杂功能的自主机器人可能使人类教练难以评估其能力和专业知识。因此,重要的是未来的机器人有能力:反思他们的能力和评估他们的任务性能。内省允许机器人确定它可以完成什么,自我评估允许机器人估计它将完成给定任务的可能性。我们介绍了一个一般的框架内省和自我评估,使机器人有任务和性能为基础的对话之前,期间和之后的任务。然后,我们实现的认知机器人DIARC架构的框架方面,最后显示一个Nao机器人的概念验证演示,显示其自我评估能力之前,期间和之后的指示任务。

英文摘要:

Autonomous robots with sophisticated capabilities can make it difficult for human instructors to assess its capabilities and proficiencies. Therefore, it is important future robots have the ability to: introspect on their capabilities and assess their task performance. Introspection allows the robot to determine what it can accomplish and self-assessment allows the robot estimate the likelihood it will accomplish at given task. We introduce a general framework for introspection and self-assessment that enables robots to have task and performance-based dialogues before, during, and after a mission. We then realize aspects of the framework in the cognitive robotic DIARC architecture, and finally show a proof-of-concept demonstration on a Nao robot showing its self-assessment capabilities before, during, and after an instructed task.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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