Genetic Programming
20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings
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Chapter and Conference Paper
Search Space Analysis of Evolvable Robot Morphologies
We present a study on morphological traits of evolved modular robots. We note that the evolutionary search space –the set of obtainable morphologies– depends on the given representation and reproduction operat...
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Chapter and Conference Paper
Directed Locomotion for Modular Robots with Evolvable Morphologies
Morphologically evolving robot systems need to include a learning period right after ‘birth’ to acquire a controller that fits the newly created body. In this paper, we investigate learning one skill in partic...
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Book and Conference Proceedings
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Chapter and Conference Paper
Predicting Individual Trip Destinations with Artificial Potential Fields
This paper presents a method to model the intended destination of a subject in real time, based on a trace of position information and prior knowledge of possible destinations. In contrast to most work in this...
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Chapter and Conference Paper
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
The design of spacecraft trajectories for missions visiting multiple celestial bodies is here framed as a multi-objective bilevel optimization problem. A comparative study is performed to assess the performanc...
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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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Chapter and Conference Paper
On-line Evolution of Foraging Behaviour in a Population of Real Robots
This paper describes a study in evolutionary robotics conducted completely in hardware without using simulations. The experiments employ on-line evolution, where robot controllers evolve on-the-fly in the robo...
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Article
Safety in the Face of Uncertainty
This article proposes a safety check extension to Adaptive Cruise Control systems where the critical headway time is estimated in real-time. This critical headway time estimate enables automated reaction to cr...
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Article
Controlling maximum evaluation duration in on-line and on-board evolutionary robotics
On-line evolution of robot controllers allows robots to adapt while they perform their proper tasks. In our investigations, robots contain their own self-sufficient evolutionary algorithm (known as the encapsu...
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Article
Evolutionary robotics
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Chapter and Conference Paper
Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation
In this work we investigate the usage of feedforward neural networks for defining the genotype-phenotype maps of arbitrary continuous optimization problems. A study is carried out over the neural network param...
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Chapter and Conference Paper
MONEE: Using Parental Investment to Combine Open-Ended and Task-Driven Evolution
This paper is inspired by a vision of self-sufficient robot collectives that adapt autonomously to deal with their environment and to perform user-defined tasks at the same time. We introduce the monee algorithm ...
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Article
Exploratory analysis of an on-line evolutionary algorithm in simulated robots
In traditional evolutionary robotics, robot controllers are evolved in a separate design phase preceding actual deployment; we call this off-line evolution. Alternatively, robot controllers can evolve while th...
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Article
Open AccessEmbodied artificial evolution
Evolution is one of the major omnipresent powers in the universe that has been studied for about two centuries. Recent scientific and technical developments make it possible to make the transition from passive...
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Chapter and Conference Paper
It’s Fate: A Self-organising Evolutionary Algorithm
We introduce a novel evolutionary algorithm where the centralized oracle –the selection-reproduction loop– is replaced by a distributed system of Fate Agents that autonomously perform the evolutionary operations....
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Chapter and Conference Paper
Testing Diversity-Enhancing Migration Policies for Hybrid On-Line Evolution of Robot Controllers
We investigate on-line on-board evolution of robot controllers based on the so-called hybrid approach (island-based). Inherently to this approach each robot hosts a population (island) of evolving controllers ...
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Chapter and Conference Paper
The Emergence of Multi-cellular Robot Organisms through On-Line On-Board Evolution
We investigate whether a swarm of robots can evolve controllers that cause aggregation into ‘multi-cellular’ robot organisms without a specific reward to do so. To this end, we create a world where aggregated ...
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Chapter and Conference Paper
An On-Line On-Board Distributed Algorithm for Evolutionary Robotics
Imagine autonomous, self-sufficient robot collectives that can adapt their controllers autonomously and self-sufficiently to learn to cope with situations unforeseen by their designers. As one step towards the...
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Chapter and Conference Paper
HyperNEAT for Locomotion Control in Modular Robots
In an application where autonomous robots can amalgamate spontaneously into arbitrary organisms, the individual robots cannot know a priori at which location in an organism they will end up. If the organism is...
