An agent-based cognitive robot architecture

Changyun Wei, Koen V. Hindriks

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

We propose a new cognitive robot control architecture in which the cognitive layer can be programmed by means of the agent programming language Goal. The architecture exploits the support that agent-oriented programming offers for creating cognitive robotic agents, including symbolic knowledge representation, deliberation via modular, high-level action selection, and support for multiple, declarative goals. The benefits of the architecture are that it provides a flexible approach to develop cognitive robots and support for a clean and clear separation of concerns about symbolic reasoning and sub-symbolic processing. We discuss the design of our architecture and discuss the issue of translating sub-symbolic information and behavior control into symbolic representations needed at the cognitive layer. An interactive navigation task is presented as a proof of concept.

Original languageEnglish
Title of host publicationProgramming Multi-Agent Systems - 10th International Workshop, ProMAS 2012, Revised Selected Papers
Pages54-71
Number of pages18
DOIs
Publication statusPublished - 5 Sep 2013
Externally publishedYes
Event10th International Workshop on Programming Multi-Agent Systems, ProMAS 2012 - Valencia, Spain
Duration: 5 Jun 20125 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7837 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Programming Multi-Agent Systems, ProMAS 2012
CountrySpain
CityValencia
Period5/06/125/06/12

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  • Cite this

    Wei, C., & Hindriks, K. V. (2013). An agent-based cognitive robot architecture. In Programming Multi-Agent Systems - 10th International Workshop, ProMAS 2012, Revised Selected Papers (pp. 54-71). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7837 LNAI). https://doi.org/10.1007/978-3-642-38700-5_4