Language Grounding in Robots

Written by leading international experts, this volume presents contributions establishing the feasibility of human language-like communication with robots. The book explores the use of language games for structuring situated dialogues in which contextualized language communication and language acquisition can take place. Within the text are integrated experiments demonstrating the extensive research which targets artificial language evolution. Language Grounding in Robots uses the design layers necessary to create a fully operational communicating robot as a framework for the text, focusing on the following areas: Embodiment; Behavior; Perception and Action; Conceptualization; Language Processing; Whole Systems Experiments. This book serves as an excellent reference for researchers interested in further study of artificial language evolution.

Covers all aspects of language interaction with robots, from embodiment, action and perception to conceptualization and grammar in a single volume Discusses several significant innovations, such as robotic embodiment, evolutionary derivation of neural controllers, embodied cognitive semantics and fluid construction grammar Presents the new humanoid robot platform, Myon, used by an increasing number of research laboratories Includes supplementary material: sn.pub/extras

Inhalt
Grounding Language through Evolutionary Language Games.- Myon, a New Humanoid.- Neural Implementation of Behavior Control.- Evolving Humanoid Behaviors for Language Games.- A Perceptual System for Language Game Experiments.- Posture Recognition Based on Slow Feature Analysis.- Grounded Internal Body Models for Communication: Integration of Sensory and Motor Spaces for Mediating Conceptualization.- Open-ended Procedural Semantics.- Dealing with Perceptual Deviation: Vague Semantics for Spatial Language and Quantification.- Fluid Construction Grammar on Real Robots.- Diagnostics and Repairs in Fluid Construction Grammar.- An Experiment in Temporal Language Learning.- Emergent Action Language on Real Robots.