Simón C. Smith

Hierarchical Quality-Diversity for Online Damage Recovery

Adaptation capabilities, like damage recovery, are crucial for the deployment of robots in complex environments. Several works have demonstrated that using repertoires of pre-trained skills can...

Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots

Understanding a controller's performance in different scenarios is crucial for robots that are going to be deployed in safety-critical tasks. If we do not have a model of the dynamics of the...

Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots

Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control

Self-Organisation of Generic Policies in Reinforcement Learning

Generation of Diverse and Functional Robot Designs Using Superquadrics Parametrisation and Quality-Diversity

Clustering-Based Searching and Navigation in an Online News Source

Efficient and Diverse Generative Robot Designs Using Evolution and Intrinsic Motivation

Discrete Gene Crossover Accelerates Solution Discovery in Quality-Diversity Algorithms

Self-Explainable Robots in Remote Environments

Homeokinetic Reinforcement Learning