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08/07/2023
Feasibility Retargeting for Multi-contact Teleoperation and Physical Interaction
This short paper outlines two recent works on multi-contact teleoperatio...
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03/01/2022
Data-efficient learning of object-centric grasp preferences
Grasping made impressive progress during the last few years thanks to de...
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03/01/2022
First do not fall: learning to exploit the environment with a damaged humanoid robot
Humanoid robots could replace humans in hazardous situations but most of...
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12/17/2021
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations
Reinforcement learning agents perform well when presented with inputs wi...
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07/02/2021
Prescient teleoperation of humanoid robots
Humanoid robots could be versatile and intuitive human avatars that oper...
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12/21/2020
Evolving the Behavior of Machines: From Micro to Macroevolution
Evolution gave rise to creatures that are arguably more sophisticated th...
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12/08/2020
Quality-Diversity Optimization: a novel branch of stochastic optimization
Traditional optimization algorithms search for a single global optimum t...
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03/10/2020
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors
Meta-learning algorithms can accelerate the model-based reinforcement le...
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03/09/2020
Signal-based self-organization of a chain of UAVs for subterranean exploration
Miniature multi-rotors are promising robots for navigating subterranean ...
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03/09/2020
Quality Diversity for Multi-task Optimization
Quality Diversity (QD) algorithms are a recent family of optimization al...
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03/09/2020
Automating Representation Discovery with MAP-Elites
The way solutions are represented, or encoded, is usually the result of ...
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07/16/2019
Adaptive Prior Selection for Repertoire-based Online Learning in Robotics
Among the data-efficient approaches for online adaptation in robotics (m...
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07/05/2019
Learning a Behavioral Repertoire from Demonstrations
Imitation Learning (IL) is a machine learning approach to learn a policy...
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01/17/2019
Evolving embodied intelligence from materials to machines
Natural lifeforms specialise to their environmental niches across many l...
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07/06/2018
A survey on policy search algorithms for learning robot controllers in a handful of trials
Most policy search algorithms require thousands of training episodes to ...
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06/25/2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
The most data-efficient algorithms for reinforcement learning in robotic...
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06/15/2018
Data-Efficient Design Exploration through Surrogate-Assisted Illumination
Design optimization techniques are often used at the beginning of the de...
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04/15/2018
Data-efficient Neuroevolution with Kernel-Based Surrogate Models
Surrogate-assistance approaches have long been used in computationally e...
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04/11/2018
Discovering the Elite Hypervolume by Leveraging Interspecies Correlation
Evolution has produced an astonishing diversity of species, each filling...
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03/09/2018
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Biological evolution provides a creative fount of complex and subtle ada...
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09/20/2017
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search
One of the most interesting features of Bayesian optimization for direct...
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09/20/2017
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics
The most data-efficient algorithms for reinforcement learning in robotic...
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02/13/2017
Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination
The MAP-Elites algorithm produces a set of high-performing solutions tha...
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11/22/2016
Limbo: A Fast and Flexible Library for Bayesian Optimization
Limbo is an open-source C++11 library for Bayesian optimization which is...
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10/18/2016
Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm
The recently introduced Multi-dimensional Archive of Phenotypic Elites (...
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10/13/2016
Reset-free Trial-and-Error Learning for Robot Damage Recovery
The high probability of hardware failures prevents many advanced robots ...
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10/05/2016
Towards semi-episodic learning for robot damage recovery
The recently introduced Intelligent Trial and Error algorithm (IT&E) ena...
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10/04/2016
Micro-Data Learning: The Other End of the Spectrum
Many fields are now snowed under with an avalanche of data, which raises...
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05/24/2016
Alternating Optimisation and Quadrature for Robust Control
Bayesian optimisation has been successfully applied to a variety of rein...
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05/23/2015
The evolutionary origins of hierarchy
Hierarchical organization -- the recursive composition of sub-modules --...
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04/20/2015
Illuminating search spaces by mapping elites
Many fields use search algorithms, which automatically explore a search ...
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07/13/2014
Robots that can adapt like animals
As robots leave the controlled environments of factories to autonomously...
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02/02/2013
Fast Damage Recovery in Robotics with the T-Resilience Algorithm
Damage recovery is critical for autonomous robots that need to operate f...
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07/11/2012