语言、环境与机器人导航
Language, Environment, and Robotic Navigation
AI总结：
本文基于符号相互依赖假说，综述语言与语义在神经网络和SLAM中的整合，提出语言兼具抽象交际与感知具身表征功能的统一框架，以推动自主机器人导航发展。
摘要：
本文探讨了语言输入在机器人导航系统中的整合，借助符号相互依赖假说来弥合符号认知与具身认知之间的鸿沟。文章考察了以往将语言和语义融入神经网络（NN）以及同时定位与建图（SLAM）方法的工作，并强调这些整合如何推动了该领域的发展。通过对比抽象符号操作与感觉运动基础，我们提出了一个统一框架，在该框架中，语言既作为抽象交际系统发挥作用，又作为感知经验的具身表征发挥作用。我们对分布语义的认知模型及其在自主智能体中的应用进行了综述，凸显了语言集成系统的变革潜力。
英文摘要：
This paper explores the integration of linguistic inputs within robotic navigation systems, drawing upon the symbol interdependency hypothesis to bridge the divide between symbolic and embodied cognition. It examines previous work incorporating language and semantics into Neural Network (NN) and Simultaneous Localization and Mapping (SLAM) approaches, highlighting how these integrations have advanced the field. By contrasting abstract symbol manipulation with sensory-motor grounding, we propose a unified framework where language functions both as an abstract communicative system and as a grounded representation of perceptual experiences. Our review of cognitive models of distributional semantics and their application to autonomous agents underscores the transformative potential of language-integrated systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
