Mar 29, 2023 · In this paper, we formulate the excavation skills with three novel manipulation primitives. We propose to learn the manipulation primitives with ...

Mar 29, 2023 · In this paper, we formulate the excavation skills with three novel manipulation primitives. We propose to learn the manipulation primitives with ...

Learning excavation of rigid objects with offline reinforcement learning. S ... RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic ...

In this paper, we formulate the excavation skills with three novel manipulation primitives. We propose to learn the manipulation primitives with offline ...

This is a collection of research and review papers for offline reinforcement learning (offline rl). Feel free to star and fork. Maintainers:.

Learning Excavation of Rigid Objects with Offline Reinforcement Learning ... Abstract:Autonomous excavation is a challenging task. The unknown contact dynamics ...

Excavation of rigid objects. A robotic manipulator attempts to penetrate the end-effector bucket into the fragmented rocks without causing jamming. Source ...

This paper presents a novel simulation platform, ZeMa, designed for robotic manipulation tasks concerning soft objects. Such simulation ideally requires ...

Zhang, “Learning excavation of rigid objects with offline reinforcement ... Levine, “Offline reinforcement learning with implicit q-learning,” in International ...

May 9, 2024 · Jin, Z. Ye, and L. Zhang, “Learning excavation of rigid objects with offline reinforcement learning,” arXiv preprint arXiv:2303.16427, 2023.