New Horizons in Evolutionary Robotics
Extended Contributions from the 2009 EvoDeRob Workshop
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Chapter and Conference Paper
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms
Reinforcement learning agents need a reward signal to learn successful policies. When this signal is sparse or the corresponding gradient is deceptive, such agents need a dedicated mechanism to efficiently exp...
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Article
Open Access26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2
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Chapter and Conference Paper
Towards Behavioral Consistency in Neuroevolution
To survive in its environment, an animat must have a behavior that is not too disturbed by noise or any other distractor. Its behavior is supposed to be relatively unchanged when tested on similar situations. ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Influence of Promoter Length on Network Convergence in GRN-Based Evolutionary Algorithms
Genetic Regulation Networks (GRNs) are a model of the mechanisms by which a cell regulates the expression of its different genes depending on its state and the surrounding environment. These mechanisms are tho...
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Chapter and Conference Paper
Evolutionary Algorithms to Analyse and Design a Controller for a Flap** Wings Aircraft
Evolutionary Algorithms are now mature optimization tools, especially in a multi-objective context. This ability is used here to help explore, analyse and, on this basis, propose a controller for a complex rob...
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Chapter and Conference Paper
Evolutionary Robotics: Exploring New Horizons
This paper considers the field of Evolutionary Robotics (ER) from the perspective of its potential users: roboticists. The core hypothesis motivating this field of research is discussed, as well as the potenti...
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Book and Conference Proceedings
From Animals to Animats 11
11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris - Clos Lucé, France, August 25-28, 2010. Proceedings
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Article
MENNAG: a modular, regular and hierarchical encoding for neural-networks based on attribute grammars
Recent work in the evolutionary computation field suggests that the implementation of the principles of modularity (functional localization of functions), repetition (multiple use of the same sub-structure) an...
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Chapter and Conference Paper
Incremental Evolution of Animats’ Behaviors as a Multi-objective Optimization
Evolutionary algorithms have been successfully used to create controllers for many animats. However, intuitive fitness functions like the survival time of the animat, often do not lead to interesting results b...
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Chapter and Conference Paper
Incremental Evolution of Target-Following Neuro-controllers for Flap**-Wing Animats
Using an incremental multi-objective evolutionary algorithm and the ModNet encoding, we generated working neuro-controllers for target-following behavior in a simulated flap**-wing animat. To this end, we ev...
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Chapter and Conference Paper
Evolving Neural Networks for the Control of a Lenticular Blimp
We used evolution to shape a neural controller for kee** a blimp at a given altitude, and as horizontal as possible, despite disturbing winds. The blimp has a lenticular shape whose aerodynamic properties ma...
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Chapter
Evolutionary Approaches to Neural Control of Rolling, Walking, Swimming and Flying Animats or Robots
This article describes past and current research efforts in evolutionary robotics that have been carried out at the AnimatLab, Paris. Such approaches entail using an artificial selection process to automatical...
