通过自然的多模式通信加强安全的人机协作

2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2016-09-01 DOI:10.1109/ETFA.2016.7733573

I. Maurtua, Izaskun Fernández, Johan Kildal, L. Susperregi, A. Tellaeche, A. Ibarguren

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引用次数: 11

摘要

本文提出了一种人与工业机器人之间的语义多模态交互方法，以提高实际工业环境中协作的可靠性。虽然这种通用方法可以应用于不同的工业场景，但本文详细解释了如何在实际案例中实现它，以提高请求解释的准确性，从而实现更高效，易于扩展和维护人与机器人之间的协作。

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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Enhancing safe human-robot collaboration through natural multimodal communication

This paper presents a semantic multimodal interaction approach between humans and industrial robots to enhance the dependability of the collaboration in real industrial settings. Although this generic approach can be applied in different industrial scenarios, this paper explains in detail how it is implemented in a real case to enhance the accuracy of requests interpretation in order to achieve a more efficient, easy to scale and maintain collaboration between humans and robots.

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来源期刊

2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

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