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» Learning Behaviors Models for Robot Execution Control
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MCS
2006
Springer
15 years 4 months ago
Architectural concepts and Design Patterns for behavior modeling and integration
The design of the control software for complex systems is a difficult task. It requires the modeling, the simulation, the integration and the adaptation of a multitude of intercon...
Jean-Marc Perronne, Laurent Thiry, Bernard Thirion
ATAL
2005
Springer
15 years 9 months ago
Discovering strategic multi-agent behavior in a robotic soccer domain
2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...
Andraz Bezek
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
15 years 10 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
AMS
2007
Springer
296views Robotics» more  AMS 2007»
15 years 10 months ago
Learning the Inverse Model of the Dynamics of a Robot Leg by Auto-imitation
Abstract Walking, running and hopping are based on self-stabilizing oscillatory activity. In contrast, aiming movements serve to direct a limb to a desired location and demand a qu...
Karl-Theodor Kalveram, André Seyfarth
IJCNN
2007
IEEE
15 years 10 months ago
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
Oliver Herbort, Martin V. Butz