490 citations · 1.1k across the 8 of their papers we have counts for
19 papers
Data-efficient learning of object-centric grasp preferences
Yoann Fleytoux, Anji Ma, Serena Ivaldi +1
Grasping made impressive progress during the last few years thanks to deep learning. However, there are many objects for which it is not possible to choose a grasp by only looking…
VP-GO: a "light" action-conditioned visual prediction model
Anji Ma, Yoann Fleytoux, Jean-Bapstiste Mouret +1
Visual prediction models are a promising solution for visual-based robotic grasping of cluttered, unknown soft objects. Previous models from the literature are computationally gree…
Evolving the Behavior of Machines: From Micro to Macroevolution
Jean-Baptiste Mouret
Evolution gave rise to creatures that are arguably more sophisticated than the greatest human-designed systems. This feat has inspired computer scientists since the advent of compu…
Quality-Diversity Optimization: a novel branch of stochastic optimization
Konstantinos Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades +1
Traditional optimization algorithms search for a single global optimum that maximizes (or minimizes) the objective function. Multimodal optimization algorithms search for the highe…
Quality Diversity for Multi-task Optimization
Jean-Baptiste Mouret, Glenn Maguire
Quality Diversity (QD) algorithms are a recent family of optimization algorithms that search for a large set of diverse but high-performing solutions. In some specific situations,…
Signal-based self-organization of a chain of UAVs for subterranean exploration
Pierre Laclau, Vladislav Tempez, Franck Ruffier +2
Miniature multi-rotors are promising robots for navigating subterranean networks, but maintaining a radio connection underground is challenging. In this paper, we introduce a distr…