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» A distributed strategy for gait adaptation in modular robots
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ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
13 years 6 months ago
A distributed strategy for gait adaptation in modular robots
Abstract— In this paper we study online gait optimization for modular robots. The learning strategy we apply is distributed, independent on robot morphology, and easy to implemen...
David Johan Christensen, Ulrik Pagh Schultz, Kaspe...
SAB
2010
Springer
226views Optimization» more  SAB 2010»
13 years 5 months ago
Distributed Online Learning of Central Pattern Generators in Modular Robots
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
David Johan Christensen, Alexander Spröwitz, ...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 29 days ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
IROS
2009
IEEE
126views Robotics» more  IROS 2009»
14 years 2 months ago
Engineering self-adaptive modular robotics: A bio-inspired approach
— In nature, animal groups achieve robustness and scalability with each individual executes a simple and adaptive strategy. Inspired by this phenomenon, we propose a decentralize...
Chih-Han Yu, Radhika Nagpal
ATAL
2006
Springer
13 years 11 months ago
Programming modular robots with the TOTA middleware
Modular robots represent a perfect application scenario for multiagent coordination. The autonomous modules composing the robot must coordinate their respective activities to enfor...
Marco Mamei, Franco Zambonelli