Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/51557
Title: Action selection for single- and multi-robot tasks using Cooperative Extended Kohonen Maps
Authors: Low, K.H. 
Leow, W.K. 
Ang Jr., M.H. 
Issue Date: 2003
Citation: Low, K.H.,Leow, W.K.,Ang Jr., M.H. (2003). Action selection for single- and multi-robot tasks using Cooperative Extended Kohonen Maps. IJCAI International Joint Conference on Artificial Intelligence : 1505-1506. ScholarBank@NUS Repository.
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 multi-robot tasks show our framework can provide better action selection than do potential fields method.
Source Title: IJCAI International Joint Conference on Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/51557
ISSN: 10450823
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.