Olivier Brüls

Grasping Under Uncertainties: Sequential Neural Ratio Estimation for 6-DoF Robotic Grasping

We introduce a novel approach to 6-DoF robotic grasping based on simulation-based inference. Our approach combines sequential neural ratio estimation with a neural implicit representation for the Bayesian inference of hand configurations in cluttered environments. We propose to compute the maximum a