2024
Learning Rearrangement Manipulation via Scene Prediction in Point Cloud
RA-L 2024
Predicting scene evolution conditioned on robotic actions is a vital technique in modeling robot manipulations. Previous studies have primarily focused on learning spatiotemporally continuous actions like Cartesian displacements, thus applying them to planar-pushing tasks. In this letter, we propose