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» A Neural Network-Based Approach to Robot Motion Control
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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
RSS
2007
176views Robotics» more  RSS 2007»
13 years 10 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
EVOW
2008
Springer
13 years 9 months ago
Discovering Several Robot Behaviors through Speciation
Abstract. This contribution studies speciation from the standpoint of evolutionary robotics (ER). A common approach to ER is to design a robot’s control system using neuro-evolut...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
14 years 3 months ago
Path diversity is only part of the problem
— The goal of motion planning is to find a feasible path that connects two positions and is free from collision with obstacles. Path sets are a robust approach to this problem i...
Ross A. Knepper, Matthew T. Mason
IJCNN
2006
IEEE
14 years 2 months ago
Reinforcement Learning for Parameterized Motor Primitives
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
Jan Peters, Stefan Schaal