---
title: "Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps"
authors:
  - "Kian Hsiang Low"
  - "Wee Kheng Leow"
  - "Marcelo H. Ang Jr."
doi: ""
url: "https://ijcai.org/proceedings/2003/252"
pdf: "https://ijcai.org/proceedings/2003/0252.pdf"
venue: "Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence"
year: 2003
pages: "1505-1505"
track: ""
keywords:
---

# Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps

Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.

*Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence*, pages 1505-1505.

## Abstract

This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates two features that significantly enhance a robot's action selection capability: self-organization in the continuous state and action spaces to provide smooth, efficient and fine motion control; action selection via the cooperation and competition of Extended Kohonen Maps to achieve more complex motion tasks. Qualitative and quantitative comparisons for single- and multirobot tasks show our framework can provide better action selection than do potential fields method.