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|Title:||Action selection for single- and multi-robot tasks using Cooperative Extended Kohonen Maps||Authors:||Low, K.H.
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|
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