Human-robot collaboration: A survey
Human-robot collaboration: A survey
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DOI：
10.1142/s0219843608001303
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发表时间：
2008-03-01
影响因子：
1.5
通讯作者：
Buss, Martin
中科院分区：
文献类型：
--
作者：
Bauer, Andrea;Wollherr, Dirk;Buss, Martin
随着机器人逐渐离开高度结构化的工厂环境，进入人类居住的环境，它们需要具备更复杂的认知能力。它们不仅要在自然、人口密集的环境中高效、安全地运行，还要能够与人类实现更高水平的合作和沟通。人机协作（HRC）是一个具有广泛应用、未来场景和潜在高经济影响的研究领域。HRC是一个跨学科的研究领域，包括经典机器人，认知科学和心理学。本文综述了HRC的研究现状。既定的意图估计，行动规划，联合行动和机器学习的方法与现有的指导方针，硬件设计。本文旨在为读者提供一个很好的概述技术和方法的人权委员会。
As robots are gradually leaving highly structured factory environments and moving into human populated environments, they need to possess more complex cognitive abilities. They do not only have to operate efficiently and safely in natural, populated environments, but also be able to achieve higher levels of cooperation and communication with humans. Human-robot collaboration (HRC) is a research field with a wide range of applications, future scenarios, and potentially a high economic impact. HRC is an interdisciplinary research area comprising classical robotics, cognitive sciences, and psychology. This paper gives a survey of the state of the art of HRC. Established methods for intention estimation, action planning, joint action, and machine learning are presented together with existing guidelines to hardware design. This paper is meant to provide the reader with a good overview of technologies and methods for HRC.