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…
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image
Matthieu Grard, Emmanuel Dellandréa, Liming Chen
Occlusion-aware instance-sensitive segmentation is a complex task generally split into region-based segmentations, by approximating instances as their bounding box. We address the…
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…
Jacquard: A Large Scale Dataset for Robotic Grasp Detection
Amaury Depierre, Emmanuel Dellandréa, Liming Chen
Grasping skill is a major ability that a wide number of real-life applications require for robotisation. State-of-the-art robotic grasping methods perform prediction of object gras…