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» Learning about Complexity with Modular Robots
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DIGITEL
2008
IEEE
8 years 10 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
8 years 4 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»
8 years 8 months ago
Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
The existing reinforcement learning approaches have been suļ¬€ering 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
9 years 4 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»
8 years 3 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...
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