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Related Experiment Video

Updated: Jun 6, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Robots with language.

Domenico Parisi¹

¹Institute of Cognitive Sciences and Technologies, National Research Council Rome, Italy.

Frontiers in Neurorobotics

|December 2, 2010

Summary

This summary is machine-generated.

This study introduces a neural model for embodied language understanding in robots, linking linguistic meaning to environmental interactions. The model explains phenomena like word ambiguity and metaphorical language, suggesting meaning is a dynamic brain process.

Keywords:

emotional words language robots

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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Area of Science:

Cognitive Science
Robotics
Computational Linguistics

Background:

Human language understanding is often studied abstractly.
An embodied perspective suggests language meaning arises from physical interaction with the environment.

Purpose of the Study:

To propose and simulate a neural model for embodied language acquisition in robots.
To explore how this model accounts for complex linguistic phenomena.

Main Methods:

Development of a neural network model with separate sub-networks for environmental interaction and language processing.
Simulations to test the model's capabilities.

Main Results:

The model demonstrates how robots can derive meaning from environmental interactions.
The model successfully accounts for linguistic phenomena like disambiguation, metaphor, and idiomaticity.
Meaning is conceptualized as a continuous, brain-wide temporal process.

Conclusions:

An embodied approach is crucial for understanding language.
The proposed neural model offers a framework for artificial language acquisition and explains key aspects of human language use.
The model can be extended to incorporate emotional language through internal bodily interactions.