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- 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
- GitHub - octo-models octo: Octo is a transformer-based robot policy . . .
Octo uses a modular attention structure in its transformer backbone, allowing it to be effectively finetuned to robot setups with new sensory inputs, action spaces, and morphologies, using only a small target domain dataset and accessible compute budgets
- [2405. 12213] Octo: An Open-Source Generalist Robot Policy
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：一个开源通才机器人策略 - 知乎
Octo 模型，开源通才机器人策略，可以通过微调适应新的机器人和任务（包括新的感官输入和动作空间）。 Octo 模型的设计强调灵活性和规模：它支持各种常用的机器人、传感器配置和动作，同时提供可在大量数据上进行训练的通用且可扩展的配方。
- 经典文献阅读之--Octo (开源的通用机器人模型) - CSDN博客
Octo模型的 设计强调灵活性和可扩展性，旨在支持各种常用的机器人、传感器配置和动作，同时提供一个通用且可扩展的训练方法，可以在大量数据上进行训练。 Octo 支持自然语言指令和目标图像、观察历史以及通过扩散解码实现的多模态动作分布。
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The Office of the Chief Technology Officer (OCTO) Connect DC program will host a Twitter
- Octo：一个开源通用机器人策略 - 知乎
我们证明了Octo可以开箱即用地解决各种任务，并展示了Octo的组合设计如何实现对新输入和动作空间的微调，这使得Octo成为各种机器人控制问题的通用初始化方法。
- Octo:AnOpen-SourceGeneralistRobotPolicy Octo
Does Octo serve as a strong initialization for data-eficient finetuning to new tasks and robots, and does it improve over training from scratch and commonly used pretrained representations?
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