3 papers
cs.RO2020
Scoring Graspability based on Grasp Regression for Better Grasp Prediction
Amaury Depierre, Emmanuel Dellandréa, Liming Chen
Grasping objects is one of the most important abilities that a robot needs to master in order to interact with its environment. Current state-of-the-art methods rely on deep neural…
cs.RO2018
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…
cs.RO2018
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…