- [2405. 12213] Octo: An Open-Source Generalist Robot Policy
In this work, we aim to lay the groundwork for developing open-source, widely applicable, generalist policies for robotic manipulation As a first step, we introduce Octo, a large transformer-based policy trained on 800k trajectories from the Open X-Embodiment dataset, the largest robot manipulation dataset to date
- Octo: An Open-Source Generalist Robot Policy
The Octo model is a transformer-based diffusion policy, pretrained on 800k robot episodes from the Open X-Embodiment dataset It supports flexible task and observation definitions and can be quickly finetuned to new observation and action spaces
- Octo：一个开源通才机器人策略 - 知乎
24年5月来自UC Berkeley、Stanford、CMU和Deepmind的论文“Octo: An Open-Source Generalist Robot Policy”。 在各种机器人数据集上预训练的大策略有可能改变机器人学习：这种通用机器人策略无需从头开始训练新策…
- GitHub - octo-models octo: Octo is a transformer-based robot policy . . .
This repo contains code for training and finetuning Octo generalist robotic policies (GRPs) Octo models are transformer-based diffusion policies, trained on a diverse mix of 800k robot trajectories
- Octo：伯克利开源机器人开发框架_octo模型-CSDN博客
该论文提出了一个开源的通用机器人操作策略Octo,论文实验主要评估Octo在零样本多机器人控制和few-shot策略微调中的性能,以及不同设计决策的影响。
- Octo: An Open-Source Generalist Robot Policy
we aim to lay the groundwork for developing open-source, widely applicable, generalist policies for robotic manipulation As a first step, we introduce Octo, a large transformer-bas
- Octo: An Open-Source Generalist Robot Policy - arXiv. org
In this work, we aim to lay the groundwork for developing open-source, widely applicable, generalist policies for robotic manipulation As a first step, we introduce Octo, a large transformer-based policy trained on 800k trajectories from the Open X-Embodiment dataset, the largest robot manipulation dataset to date
- 【论文精选】Octo: An Open-Source Generalist Robot Policy
In this work, we aim to lay the groundwork for developing open-source, widely applicable, generalist policies for robotic manipulation As a first step, we introduce Octo, a large transformer-based policy trained on 800k trajectories from the Open X-Embodiment dataset, the largest robot manipulation dataset to date
|