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Oct 11, 2020 · Abstract:We present a deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space.
We present a deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space. A core challenge is to generalize the ...
A deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space with a deep, hierarchical, modular architecture ...
Dec 6, 2020 · We present a deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space.
The main contribution of the paper is to learn accurate dynamic models that can be useful for bimanual robot manipulation. The accuracy is achieved using Graph ...
How to design deep imitation learning [2] strategies such that the learned skills can generalize to different object locations in robotic bimanual manipulation ...
We present a deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space. Our model learns to imitate table lifting ...
Jan 4, 2024 · In this work, we develop a system for imitating mobile manipulation tasks that are bimanual and require whole-body control.
We present a deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space. Published with Wowchemy — the free, ...
This repository is mainly about robot bimanual manipulation / dual-arm manipulation. This is an ongoing project now, so keep an eye on it.