Stéphane Doncieux

Steffen Rühl

IEEE Trans. Robotics, 2024

Speeding up 6-DoF Grasp Sampling with Quality-Diversity.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents.

[BibT_eX]

[DOI]

Nicolas Perrin-Gilbert

Vieri Giuliano Santucci

CoRR, 2023

Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Grasp: from Somewhere to Anywhere.

[BibT_eX]

[DOI]

CoRR, 2023

Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity.

[BibT_eX]

[DOI]

CoRR, 2023

Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics.

[BibT_eX]

[DOI]

CoRR, 2023

Data-efficient, Explainable and Safe Payload Manipulation: An Illustration of the Advantages of Physical Priors in Model-Predictive Control.

[BibT_eX]

[DOI]

CoRR, 2023

On the Influence of Time-Correlation in Initial Training Data for Model-Based Policy Search.

[BibT_eX]

[DOI]

Elias Hanna

Proceedings of the 21st International Conference on Advanced Robotics, 2023

Diversity Search for the Generation of Diverse Grasping Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Quality-Diversity Optimization.

[BibT_eX]

[DOI]

Antoine Cully

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Building an Affordances Map With Interactive Perception.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, September, 2022

Behavioral Repertoire via Generative Adversarial Policy Networks.

[BibT_eX]

[DOI]

Marija Jegorova

IEEE Trans. Cogn. Dev. Syst., 2022

Innovation Paths for Machine Learning in Robotics [Industry Activities].

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2022

Few-Shot Quality-Diversity Optimization.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Exploratory State Representation Learning.

[BibT_eX]

[DOI]

Astrid Merckling

Nicolas Perrin-Gilbert

Frontiers Robotics AI, 2022

Random Actions vs Random Policies: Bootstrapping Model-Based Direct Policy Search.

[BibT_eX]

[DOI]

Elias Hanna

Alex Coninx

CoRR, 2022

E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories.

[BibT_eX]

[DOI]

CoRR, 2022

Meta Neural Ordinary Differential Equations For Adaptive Asynchronous Control.

[BibT_eX]

[DOI]

Steffen Rühl

CoRR, 2022

Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Geodesics, non-linearities and the archive of novelty search.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Quality-diversity optimisation.

[BibT_eX]

[DOI]

Antoine Cully

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

From exploration to control: Learning object manipulation skills through novelty search and local adaptation.

[BibT_eX]

[DOI]

Seungsu Kim

Robotics Auton. Syst., 2021

Discovering and Exploiting Sparse Rewards in a Learned Behavior Space.

[BibT_eX]

[DOI]

CoRR, 2021

Few-shot Quality-Diversity Optimisation.

[BibT_eX]

[DOI]

CoRR, 2021

Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

BR-NS: an archive-less approach to novelty search.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Sparse reward exploration via novelty search and emitters.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Younger is better: a simple and efficient selection strategy for MAP-Elites.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics.

[BibT_eX]

[DOI]

Natalia Díaz Rodríguez

David Filliat

A. E. Eiben

Richard J. Duro

CoRR, 2020

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.

[BibT_eX]

[DOI]

Artif. Life, 2020

State Representation Learning from Demonstration.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

On Pros and Cons of Evolving Topologies with Novelty Search.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Artificial Life, 2020

Unsupervised Learning and Exploration of Reachable Outcome Space.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Novelty search makes evolvability inevitable.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Action Generation Adapted to Low-Level and High-Level Robot-Object Interaction States.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2019

Bootstrapping Robotic Ecological Perception from a Limited Set of Hypotheses Through Interactive Perception.

[BibT_eX]

[DOI]

CoRR, 2019

Novelty search: a theoretical perspective.

[BibT_eX]

[DOI]

Alban Laflaquière

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Bootstrapping Q-Learning for Robotics From Neuro-Evolution Results.

[BibT_eX]

[DOI]

Matthieu Zimmer

IEEE Trans. Cogn. Dev. Syst., 2018

Editorial: Evolvability, Environments, Embodiment & Emergence in Robotics.

[BibT_eX]

[DOI]

John H. Long Jr.

Eric Aaron

Frontiers Robotics AI, 2018

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription.

[BibT_eX]

[DOI]

David Filliat

Natalia Díaz Rodríguez

Frontiers Neurorobotics, 2018

Generative Adversarial Policy Networks for Behavioural Repertoire.

[BibT_eX]

[DOI]

Marija Jegorova

CoRR, 2018

Open-ended evolution with multi-containers QD.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Evolutionary robotics tutorial.

[BibT_eX]

[DOI]

Nicolas Bredèche

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Segmenting Objects through an Autonomous Agnostic Exploration Conducted by a Robot.

[BibT_eX]

[DOI]

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Iterative affordance learning with adaptive action generation.

[BibT_eX]

[DOI]

Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

Learning highly diverse robot throwing movements through quality diversity search.

[BibT_eX]

[DOI]

Seungsu Kim

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Chairs' welcome for GECCO'17 workshop "evolution in cognition".

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Exploration of unknown dynamic environments: A visual saliency-based babbling approach.

[BibT_eX]

[DOI]

Leni K. Le Goff

Pierre-Henri Le Fur

Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Evolution in Cognition 2016 Chairs' Welcome.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Evolutionary Robotics: What, Why, and Where to.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2015

Multi-objective analysis of computational models.

[BibT_eX]

[DOI]

CoRR, 2015

Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach.

[BibT_eX]

[DOI]

Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Tutorial on Evolutionary Robotics.

[BibT_eX]

[DOI]

Nicolas Bredèche

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Beyond black-box optimization: a review of selective pressures for evolutionary robotics.

[BibT_eX]

[DOI]

Evol. Intell., 2014

Knowledge Extraction from Learning Traces in Continuous Domains.

[BibT_eX]

[DOI]

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013

The Transferability Approach: Crossing the Reality Gap in Evolutionary Robotics.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2013

Crossing the Reality Gap: a Short Introduction to the Transferability Approach.

[BibT_eX]

[DOI]

CoRR, 2013

Transfer learning for direct policy search: A reward shaping approach.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

Behavioral diversity with multiple behavioral distances.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study.

[BibT_eX]

[DOI]

Evol. Comput., 2012

Towards Behavioral Consistency in Neuroevolution.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 12, 2012

Emergence of memory in neuroevolution: impact of selection pressures.

[BibT_eX]

[DOI]

Tony Pinville

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Dynamic behavioral diversity.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evo-devo-robo workshop program.

[BibT_eX]

[DOI]

Yaochu Jin

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

With a little help from selection pressures: evolution of memory in robot controllers.

[BibT_eX]

[DOI]

Tony Pinville

Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012

2011

How to promote generalisation in evolutionary robotics: the ProGAb approach.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Why and how to measure exploration in behavioral space.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia.

[BibT_eX]

[DOI]

Benoît Girard

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Crossing the reality gap in evolutionary robotics by promoting transferable controllers.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Sferesv2: Evolvin' in the multi-core world.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Behavioral diversity measures for Evolutionary Robotics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Robotique évolutionniste: conception orientée vers le comportement. (Evolutionary robotics: behavior oriented design).

[BibT_eX]

[DOI]

, 2010

2009

Visual topological SLAM and global localization.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Using behavioral exploration objectives to solve deceptive problems in neuro-evolution.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Single step evolution of robot controllers for sequential tasks.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Influence of Promoter Length on Network Convergence in GRN-Based Evolutionary Algorithms.

[BibT_eX]

[DOI]

Paul Tonelli

Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

Evolving modular neural-networks through exaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Automatic system identification based on coevolution of models and tests.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2008

MENNAG: a modular, regular and hierarchical encoding for neural-networks based on attribute grammars.

[BibT_eX]

[DOI]

Evol. Intell., 2008

Incremental Evolution of Animats' Behaviors as a Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 10, 2008

Incremental vision-based topological SLAM.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Real-time visual loop-closure detection.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2006

Incremental Evolution of Target-Following Neuro-controllers for Flapping-Wing Animats.

[BibT_eX]

[DOI]

Jean-Arcady Meyer

Proceedings of the From Animals to Animats 9, 2006

2005

A contribution to vision-based autonomous helicopter flight in urban environments.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2005

Evolving PID-like Neurocontrollers for Nonlinear Control Problems.

[BibT_eX]

[DOI]

Jean-Arcady Meyer

Control. Intell. Syst., 2005

2003

Evolving Neural Networks for the Control of a Lenticular Blimp.

[BibT_eX]

[DOI]