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» Learning Behaviors Models for Robot Execution Control
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ICRA
2003
IEEE
154views Robotics» more  ICRA 2003»
15 years 9 months ago
Scalability and schedulability in large, coordinated, distributed robot systems
— Multiple, independent robot platforms promise significant advantage with respect to robustness and flexibility. However, coordination between otherwise independent robots req...
John Sweeney, Huan Li, Roderic A. Grupen, Krithi R...
EUROS
2008
153views Robotics» more  EUROS 2008»
15 years 6 months ago
Adaptive Multiple Resources Consumption Control for an Autonomous Rover
Resources consumption control is crucial in the autonomous rover context. Most of the time, the resources consumption is probabilistic. During execution time, the rover has to adap...
Simon Le Gloannec, Abdel-Illah Mouaddib, Fran&cced...
RSS
2007
176views Robotics» more  RSS 2007»
15 years 5 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
BC
2000
95views more  BC 2000»
15 years 4 months ago
Cerebellar learning of accurate predictive control for fast-reaching movements
Long conduction delays in the nervous system prevent the accurate control of movements by feedback control alone. We present a new, biologically plausible cerebellar model to study...
Jacob Spoelstra, Nicolas Schweighofer, Michael A. ...
IJCNN
2006
IEEE
15 years 10 months ago
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikha...