New Horizons in Evolutionary Robotics
Extended Contributions from the 2009 EvoDeRob Workshop
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Jean-Baptiste Mouret
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Article
Open AccessPrecise characterization of a corridor-shaped structure in Khufu’s Pyramid by observation of cosmic-ray muons
Khufu’s Pyramid is one of the largest archaeological monument all over the world, which still holds many mysteries. In 2016 and 2017, the ScanPyramids team reported on several discoveries of previously unknown...
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Chapter and Conference Paper
A-EMS: An Adaptive Emergency Management System for Autonomous Agents in Unforeseen Situations
Reinforcement learning agents are unable to respond effectively when faced with novel, out-of-distribution events until they have undergone a significant period of additional training. For lifelong learning ag...
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Chapter
Quality-Diversity Optimization: A Novel Branch of Stochastic Optimization
Traditional optimization algorithms search for a single global optimum that maximizes (or minimizes) the objective function. Multimodal optimization algorithms search for the highest peaks in the search space ...
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Article
Evolving embodied intelligence from materials to machines
Natural lifeforms specialize to their environmental niches across many levels, from low-level features such as DNA and proteins, through to higher-level artefacts including eyes, limbs and overarching body pla...
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Article
Discovery of a big void in Khufu’s Pyramid by observation of cosmic-ray muons
Cosmic-ray muon radiography has been used to non-invasively visualize the voids in the Great Pyramid (Khufu’s Pyramid), revealing a large void situated above the Grand Gallery.
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Article
Robots that can adapt like animals
An intelligent trial-and-error learning algorithm is presented that allows robots to adapt in minutes to compensate for a wide variety of types of damage.
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Article
Beyond black-box optimization: a review of selective pressures for evolutionary robotics
Evolutionary robotics (ER) is often viewed as the application of a family of black-box optimization algorithms—evolutionary algorithms—to the design of robots, or parts of robots. When considering ER as black...
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Chapter
Artificial Evolution of Plastic Neural Networks: A Few Key Concepts
This chapter introduces a hierarchy of concepts to classify the goals and the methods used in articles that mix neuro-evolution and synaptic plasticity. We propose definitions of “behavioral robustness” and op...
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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
Novelty-Based Multiobjectivization
Novelty search is a recent and promising approach to evolve neurocontrollers, especially to drive robots. The main idea is to maximize the novelty of behaviors instead of the efficiency. However, abandoning th...
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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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Article
Fast Road Network Extraction in Satellite Images Using Mathematical Morphology and Markov Random Fields
We present a fast method for road network extraction in satellite images. It can be seen as a transposition of the segmentation scheme "watershed transform ...
