Guest Editorial Behavior Understanding and Developmental Robotics

A. A. Salah, Pierre-Yves Oudeyer, Çetin Meriçli, Javier Ruiz-del-Solar
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引用次数: 3

Abstract

The scientific, technological, and application challenges that arise from the mutual interaction of developmental robotics and computational human behavior understanding give rise to two different perspectives. Robots need to be capable to learn dynamically and incrementally how to interpret, and thus understand multimodal human behavior, which means behavior analysis can be performed for developmental robotics. On the other hand, behavior analysis can also be performed through developmental robotics, since developmental social robots can offer stimulating opportunities for improving scientific understanding of human behavior, and especially to allow a deeper analysis of the semantics and structure of human behavior. The contributions to the Special Issue explore these two perspectives.
行为理解与发展机器人
发展机器人和计算人类行为理解的相互作用所产生的科学、技术和应用挑战产生了两种不同的观点。机器人需要能够动态和增量地学习如何解释,从而理解多模态人类行为,这意味着行为分析可以用于发展机器人。另一方面,行为分析也可以通过发展机器人进行,因为发展社交机器人可以为提高对人类行为的科学理解提供刺激的机会,特别是允许对人类行为的语义和结构进行更深入的分析。本期特刊的文章探讨了这两个观点。
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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来源期刊
IEEE Transactions on Autonomous Mental Development
IEEE Transactions on Autonomous Mental Development COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ROBOTICS
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