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» Piecemeal Learning of an Unknown Environment
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TROB
2011
112views more  TROB 2011»
13 years 3 months ago
Mapping and Pursuit-Evasion Strategies For a Simple Wall-Following Robot
— This paper defines and analyzes a simple robot with local sensors that moves in an unknown polygonal environment. The robot can execute wall-following motions and can traverse...
Max Katsev, Anna Yershova, Benjamín Tovar, ...
AOIS
2004
13 years 10 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
BC
2005
62views more  BC 2005»
13 years 8 months ago
Regularity in an environment produces an internal torque pattern for biped balance control
In this paper, we present a control method for achieving biped static balance under unknown periodic external forces whose periods are only known. In order to maintain static balan...
Satoshi Ito, Haruhisa Kawasaki
HCI
2007
13 years 10 months ago
Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to 'Sense/Feel' Their Local Envi
This paper explores how a ‘learning’ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling’ using incorporated sensors, which woul...
Siddharth Odedra, Stephen D. Prior, Mehmet Karaman...
ICIC
2007
Springer
14 years 2 months ago
Usage of Hybrid Neural Network Model MLP-ART for Navigation of Mobile Robot
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
Andrey Gavrilov, Sungyoung Lee