This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
A. Carlevarino, R. Martinotti, Giorgio Metta, Giul...
In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr...
The problem of concurrent mapping and localization has received considerable attention in the mobile robotics community. Existing approachescan largely be grouped into two distinc...
Sebastian Thrun, Jens-Steffen Gutmann, Dieter Fox,...
d Abstract) LYDIA E. KAVRAKI JEAN-CLAUDE LATOMBE RAJEEV MOTWANI ¡ PRABHAKAR RAGHAVAN ¢ The subject of this paper is the analysis of a randomized preprocessing scheme that ...
Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motw...