New Horizons in Evolutionary Robotics
Extended Contributions from the 2009 EvoDeRob Workshop
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Chapter
From distributed robot perception to human topology : a learning model
This poster presents an approach to enable autonomous mobile robots to link perceived information from their environment to names of places (toponyms acquired through interaction with human beings).
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Chapter and Conference Paper
A Wrapper-Based Approach to Robot Learning Concepts from Images
This work is about the building of a lexicon of shared symbols between a Pioneer2DX mobile robot and its human interlocutors. This lexicon contains words corresponding to objects seen in the environment. The diff...
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Chapter and Conference Paper
Abstracting Visual Percepts to Learn Concepts
To efficiently identify properties from its environment is an essential ability of a mobile robot who needs to interact with humans. Successful approaches to provide robots with such ability are based on ad-ho...
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Chapter and Conference Paper
From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm
Factorial Hierarchical Hidden Markov Models (FHHMM) provides a powerful way to endow an autonomous mobile robot with efficient map-building and map-navigation behaviors. However, the inference mechanism in FHH...
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Chapter and Conference Paper
Simbad: An Autonomous Robot Simulation Package for Education and Research
Simbad is an open source Java 3d robot simulator for scientific and educational purposes. It is mainly dedicated to researchers and programmers who want a simple basis for studying Situated Artificial Intellig...
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Chapter and Conference Paper
Blindbuilder: A New Encoding to Evolve Lego-Like Structures
This paper introduces a new representation for assemblies of small Lego®-like elements: structures are indirectly encoded as construction plans. This representation shows some interesting properties such as hiera...
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Chapter and Conference Paper
A Multi-cellular Developmental System in Continuous Space Using Cell Migration
This paper introduces a novel multi-cellular developmental system where cells are placed in a continuous space. Cells communicate by diffusing and perceiving substances in the environment and are able to migra...
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Chapter and Conference Paper
Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny
Echo State Networks (ESN) have demonstrated their efficiency in supervised learning of time series: a ”reservoir” of neurons provide a set of dynamical systems that can be linearly combined to match the target...
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Chapter and Conference Paper
A Statistical Learning Perspective of Genetic Programming
This paper proposes a theoretical analysis of Genetic Programming (GP) from the perspective of statistical learning theory, a well grounded mathematical toolbox for machine learning. By computing the Vapnik-Ch...
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Chapter and Conference Paper
Environment-Driven Embodied Evolution in a Population of Autonomous Agents
This paper is concerned with a fixed-size population of autonomous agents facing unknown, possibly changing, environments. The motivation is to design an embodied evolutionary algorithm that can cope with the ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Embedded Evolutionary Robotics: The (1+1)-Restart-Online Adaptation Algorithm
This paper deals with online onboard behavior optimization for a autonomous mobile robot in the scope of the European FP7 Symbrion Project. The work presented here extends the (1+1)-online algorithm introduced...
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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
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Chapter
Artificial Neurogenesis: An Introduction and Selective Review
In this introduction and review—like in the book which follows—we explore the hypothesis that adaptive growth is a means of producing brain-like machines. The emulation of neural development can incorporate de...
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Article
Evolutionary robotics
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Chapter and Conference Paper
Multi-objective Optimization of Multi-level Models for Controlling Animal Collective Behavior with Robots
Group-living animals often exhibit complex collective behaviors that emerge through the non-linear dynamics of social interactions between individuals. Previous studies have shown that it is possible to influe...
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Chapter
Artificial Evolution of Autonomous Robots and Virtual Creatures
Loosely inspired by natural evolution, evolutionary robotics combines evolutionary computation and agent-based modelling to provide a set of tools for the automated design of robots. Evolutionary robotics have...
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Chapter and Conference Paper
Tutorials at PPSN 2016
PPSN 2016 hosts a total number of 16 tutorials covering a broad range of current research in evolutionary computation. The tutorials range from introductory to advanced and specialized but can all be attended ...
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Article
ACACIA-ES: an agent-based modeling and simulation tool for investigating social behaviors in resource-limited two-dimensional environments
In this paper, we describe a framework for studying social agents’ individual decision making, that takes account of the environment and social dynamics. We describe a study in which we explored the efficiency...
