Kirill Sumskiy

Learning active manipulation to target shapes with model-free, long-horizon deep reinforcement learning

We investigate the active manipulation of objects using model-free and long-horizon DRL (Deep Reinforcement Learning) to achieve target shapes. Our proposed approach uses visual observations consisting of segmented images, to mitigate the sim-to-real gap. We address a long-horizon manipulation task…