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Enactive self: A study of engineering perspectives to obtain the sensorimotor self through enaction

机译:生物学:对工程观点的研究,通过Ensaction获得Sensimotor自我

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In this paper we discuss the enactive self from a computational point of view and study the suitability of current methods to instantiate it onto robots. As an assumption, we consider any cognitive agent as an autonomous system that constructs its identity by continuous interaction with the environment. We start examining algorithms to learn the body-schema and to enable tool-extension, and we finalize by studying their viability for generalizing the enactive self computational model. This paper points out promising techniques for bodily self-modelling and exploration, as well as formally link sensorimotor models with differential kinematics. Although the study is restricted to basic sensorimotor construction of the self, some of the analysed works also traverse into more complex self constructions with a social component. Furthermore, we discuss the main gaps of current engineering approaches for modelling enactive robots and describe the main characteristics that a synthetic sensorimotor self-model should present.
机译:在本文中,我们从计算的角度讨论了生成的自我,并研究了当前方法的适用性将其实例化到机器人上。作为假设,我们将任何认知代理人视为一种自治系统,通过与环境连续互动构建其身份。我们开始检查算法以学习Body-Schema并启用工具扩展,并通过研究其可行性来概括实施系统的可行性。本文指出了对身体自建模和勘探的有前途的技术,以及用差动运动学的形式与SensionImotor模型进行正式。虽然该研究仅限于自我的基本传感器结构,但一些分析的作品也遍历了与社会成分更复杂的自我结构。此外,我们讨论了当前工程方法的主要差距,用于建模化学机器人,并描述了合成传感器自我模型应该存在的主要特征。

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