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» Learning about Complexity with Modular Robots
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DIGITEL
2008
IEEE
13 years 11 months ago
Learning about Complexity with Modular Robots
We present progress with roBlocks, a reconfigurable modular robotic system for education. Children snap together small, magnetic, heterogeneous modules to create larger, more comp...
Eric Schweikardt, Mark D. Gross
ESANN
2003
13 years 6 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Yasutake Takahashi, Kazuhiro Edazawa, Minoru Asada
ICML
1998
IEEE
14 years 5 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 4 months ago
Artificial Hormone Reaction Networks: Towards Higher Evolvability in Evolutionary Multi-Modular Robotics
The semi-automatic or automatic synthesis of robot controller software is both desirable and challenging. Synthesis of rather simple behaviors such as collision avoidance by apply...
Heiko Hamann, Jürgen Stradner, Thomas Schmick...