AllenAI 推出 ToyBlocks，一个面向机器人学习的开放框架

发生了什么

AllenAI 推出 ToyBlocks，这是一个开放的仿真框架，用于借助机械臂和桌面方块研究机器人学习。它可生成任务和演示数据，支持训练与评估，并提供执行速度、作用力和任务进度等指标。初始版本包含 85,336 条长时程演示数据、约 1,600 小时的机器人执行数据，以及 1.44 亿帧。

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这件事到目前为止

AllenAI released ToyBlocks, an open simulation framework and dataset for robot learning research using a robot arm and tabletop blocks. The release includes 85,336 long-horizon demonstrations, about 1,600 hours of robot execution data, and 144 million frames, along with simulation assets, task and demonstration generators, two trained models, training code, and evaluation code and validation sets. ToyBlocks supports task generation, model training, and evaluation with measures such as execution speed, forces, and task progress. AllenAI said a larger dataset, more skills, broader benchmarking, and integrated reinforcement learning training are planned for a later release; integrated RL training is not part of the current package.