Bagel Labs 基础模型全自主控制机器人制作咖啡
Bagel Labs 展示了其基础模型全自主控制机器人制作咖啡的演示。作者表示此前发布的轻量架构 WorldDiT 在发布时处于模型规模与性能的 Pareto 前沿，团队此后持续改进该架构以全自主完成更长时程、更实用的任务；制作咖啡需要一整串动作依次正确，每步依赖上一步结果，小错误会累积，用小模型实现尤其困难。
This fully autonomous demo shows a Bagel Labs foundation model controlling a robot to make coffee.
We previously released WorldDiT, our lightweight architecture for robot foundation models. At the time of release, it was on the Pareto frontier for model size and performance. We have since been refining this architecture to handle longer
horizon, more useful tasks fully autonomously.
Making coffee means getting a whole sequence of actions right. Each step depends on the result of the last, so small mistakes can build up as the task continues. Getting this to work with a small model is especially challenging. This demo is an example of what the model can do today.
If you are deploying robots or have existing hardware you want to make autonomous, we would like to partner with you. bagel.com/partner
来源：bidhan · x.com