research
∙
03/02/2022
Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante
State-of-the-art reinforcement learning is now able to learn versatile l...
share
research
∙
06/18/2021
Meta-control of social learning strategies
Social learning, copying other's behavior without actual experience, off...
research
∙
03/11/2021
Policy Search with Rare Significant Events: Choosing the Right Partner to Cooperate with
This paper focuses on a class of reinforcement learning problems where s...
research
∙
05/13/2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Robots are still limited to controlled conditions, that the robot design...
research
∙
10/01/2019
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites
Swarms of molecular robots are a promising approach to create specific s...
research
∙
07/22/2019
Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm
During the last two decades, various models have been proposed for fish ...
research
∙
08/09/2018
Evolutionary optimisation of neural network models for fish collective behaviours in mixed groups of robots and zebrafish
Animal and robot social interactions are interesting both for ethologica...
research
∙
05/29/2018
How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model
We have previously shown how to socially integrate a fish robot into a g...
research
∙
09/26/2017
Embodied Evolution in Collective Robotics: A Review
This paper provides an overview of evolutionary robotics techniques appl...
research
∙
04/10/2013