从纠正演示中学习

2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) Pub Date : 2019-03-01 DOI:10.1109/HRI.2019.8673287

R. Gutierrez, Elaine Schaertl Short, S. Niekum, A. Thomaz

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引用次数: 6

摘要

部署在人类环境中的机器人将不可避免地遇到未建模的场景，这可能导致执行失败。为了解决这个问题，我们希望允许共同在场的天真用户纠正和改进机器人的行为，因为这些边缘情况会随着时间的推移而遇到。

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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Learning from Corrective Demonstrations

Robots deployed in human environments will inevitably encounter unmodeled scenarios which are likely to result in execution failures. To address this issue, we would like to allow co-present naive users to correct and improve the robot's behavior as these edge cases are encountered over time.

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来源期刊

2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

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