14 datasets found

The dataset used in the paper is a simulation environment for social navigation with human empowerment.

Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning.

The Open X-Embodiment Collaboration dataset is a collection of robotic learning datasets and RT-X models.

The Fleet-Tools benchmark is a dataset for robotic tool-use tasks.

Training general robotic policies from heterogeneous data for different tasks is a significant challenge. Existing robotic datasets vary in different modalities such as color,...

Learning language-conditioned robot behavior from offline data and crowd-sourced annotation.

Scaling robot learning with semantically imagined experience.

We propose a novel methodology to learn neural contractive dynamical systems, where our neural architecture ensures contraction, and hence, global stability.

We propose a novel methodology to learn neural contractive dynamical systems, where our neural architecture ensures contraction, and hence, global stability.

We propose a novel methodology to learn neural contractive dynamical systems, where our neural architecture ensures contraction, and hence, global stability.

We propose a novel methodology to learn neural contractive dynamical systems, where our neural architecture ensures contraction, and hence, global stability.

Stability guarantees are crucial when ensuring a fully autonomous robot does not take undesirable or potentially harmful actions. We propose a novel methodology to learn neural...

The Sparse Diffusion Policy (SDP) framework, which integrates Mixture of Experts (MoE) layers into the diffusion policy.

D4RL datasets for maze2d-umaze, maze2d-medium, maze2d-large, antmaze-umaze, antmaze-medium, antmaze-large, parking, soccer-sim, and soccer-physical tasks