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» Learning Behaviors Models for Robot Execution Control
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IJRR
2008
186views more  IJRR 2008»
15 years 1 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
NN
2006
Springer
101views Neural Networks» more  NN 2006»
15 years 1 months ago
A robot model of the basal ganglia: Behavior and intrinsic processing
The existence of multiple parallel loops connecting sensorimotor systems to the basal ganglia has given rise to proposals that these nuclei serve as a selection mechanism resolvin...
Tony J. Prescott, Fernando M. Montes Gonzál...
CEC
2010
IEEE
15 years 3 months ago
A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...
Heiko Hamann, Jürgen Stradner, Thomas Schmick...
RAS
2010
109views more  RAS 2010»
15 years 8 days ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...
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AAAI
2007
15 years 4 months ago
Detecting Execution Failures Using Learned Action Models
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
Maria Fox, Jonathan Gough, Derek Long