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Language, Environment, and Robotic Navigation
April 5, 2024, 4:47 a.m. | Johnathan E. Avery
cs.CL updates on arXiv.org arxiv.org
Abstract: 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 …
abstract arxiv bridge cognition cs.cl embodied embodied cognition environment highlighting hypothesis inputs integration integrations language localization mapping navigation network neural network paper robotic semantics slam systems type work
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