A Biologically Inspired Memory in a Multi-agent Based Robotic Architecture

Author

Arredondo, Tomas ; Castillo, Patricio ; Benapres, Pablo ; Quiroz, Javiera ; Torres, Miguel

Author_Institution

Electron. Eng. Dept., Univ. Tec. Federico Santa Maria, Valparaiso, Chile

fYear

2011

fDate

7-9 Nov. 2011

Firstpage

344

Lastpage

351

Abstract

We describe a biologically inspired memory in a multi-agent based robotic architecture. In this approach, memory and pattern recognition are intertwined to form a cognitive memory that is used for recognition of objects in a robotics environment. This memory is implemented in a multiple agent behavior based blackboard architecture as an object recognition agent. The agent performance is tested against a standard dataset with satisfactory results. The system is currently installed in a mobile robotic platform where its capabilities and applications are explored.

Keywords

cognitive systems; mobile robots; multi-agent systems; multi-robot systems; object recognition; robot vision; biologically inspired memory; blackboard architecture; cognitive memory; mobile robotic platform; multiagent based robotic architecture; multiple agent behavior; object recognition agent; pattern recognition; Biology; Computer architecture; Image segmentation; Machine vision; Pattern recognition; Robots; Training; architecture; biological; blackboard; cognitive; memory; multi-agent; robotic;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on

Conference_Location

Boca Raton, FL

ISSN

1082-3409

Print_ISBN

978-1-4577-2068-0

Electronic_ISBN

1082-3409

Type

conf

DOI

10.1109/ICTAI.2011.58

Filename

6103348