78 citations · 78 across the 4 of their papers we have counts for
4 papers
Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction
Maxime Petit, Emmanuel Dellandrea, Liming Chen
In robotics, methods and softwares usually require optimizations of hyperparameters in order to be efficient for specific tasks, for instance industrial bin-picking from homogeneou…
Toward a Procedural Fruit Tree Rendering Framework for Image Analysis
Thomas Duboudin, Maxime Petit, Liming Chen
We propose a procedural fruit tree rendering framework, based on Blender and Python scripts allowing to generate quickly labeled dataset (i.e. including ground truth semantic segme…
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning
Maxime Petit, Amaury Depierre, Xiaofang Wang +2
We present a developmental framework based on a long-term memory and reasoning mechanisms (Vision Similarity and Bayesian Optimisation). This architecture allows a robot to optimiz…
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
Clément Moulin-Frier, Tobias Fischer, Maxime Petit +16
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative…