Media Innovation Lab, School of Communication, Interdisciplinary Center Herzliya, Herzliya 46150, Israel.
Top Cogn Sci. 2012 Oct;4(4):759-72. doi: 10.1111/j.1756-8765.2012.01218.x. Epub 2012 Aug 14.
In the past, notions of embodiment have been applied to robotics mainly in the realm of very simple robots, and supporting low-level mechanisms such as dynamics and navigation. In contrast, most human-like, interactive, and socially adept robotic systems turn away from embodiment and use amodal, symbolic, and modular approaches to cognition and interaction. At the same time, recent research in Embodied Cognition (EC) is spanning an increasing number of complex cognitive processes, including language, nonverbal communication, learning, and social behavior. This article suggests adopting a modern EC approach for autonomous robots interacting with humans. In particular, we present three core principles from EC that may be applicable to such robots: (a) modal perceptual representation, (b) action/perception and action/cognition integration, and (c) a simulation-based model of top-down perceptual biasing. We describe a computational framework based on these principles, and its implementation on two physical robots. This could provide a new paradigm for embodied human-robot interaction based on recent psychological and neurological findings.
在过去，具身认知的概念主要应用于非常简单的机器人领域，并支持动力学和导航等低级机制。相比之下，大多数类人、交互和社交能力强的机器人系统回避具身认知，转而采用模态、符号和模块化的认知和交互方法。与此同时，最近的具身认知（EC）研究正在涵盖越来越多的复杂认知过程，包括语言、非言语交流、学习和社会行为。本文建议为与人类交互的自主机器人采用现代 EC 方法。特别是，我们提出了 EC 的三个核心原则，这些原则可能适用于此类机器人：(a) 模态感知表示，(b) 动作/感知和动作/认知集成，以及 (c) 基于模拟的自上而下感知偏向模型。我们描述了一个基于这些原则的计算框架及其在两个物理机器人上的实现。这可能为基于最近的心理和神经学发现的具身人机交互提供一种新的范例。
