教人形机器人协助人类完成协作任务

J. Rodano, Omar Obidat, Jesse Parron, Rui Li, Michelle Zhu, Weitian Wang
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引用次数: 0

摘要

随着科技的进步,社会见证并参与了能够走路、说话和识别语音的机器人的创造。为了促进人与仿人机器人之间的交流和协作,我们开发了一个供人类教授仿人机器人完成物体识别和操作任务的教-学框架。机器人基于迁移学习方法向人类伙伴学习,并可以利用他们学到的知识帮助人类。实验结果和评估表明,所开发的方法在人-机器人伙伴关系的智能服务环境中是成功和高效的。并对今后的研究工作进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teaching Humanoid Robots to Assist Humans for Collaborative Tasks
As technology has advanced, society has witnessed and participated in the creation of robots that can walk, talk, and recognize speech. To facilitate communication and collaboration between humans and humanoid robots, we develop a teaching-learning framework for human beings to teach humanoid robots to complete object identification and operation tasks. The robots learn from their human partners based on the transfer learning approach and can assist humans using their learned knowledge. Experimental results and evaluations suggest the success and efficiency of the developed approach in smart service contexts for human-robot partnerships. The future work of this study is also discussed.
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