RAX: Open-source framework for robot agents that autonomously explore and acquire skills
清华姚班、哈佛学霸，让机器人自己写代码、练技能，终于不用人手把手带了
Researchers from Harvard, NVIDIA, UC Berkeley, MIT, and Stanford introduce RAX, an open-source framework that allows robot agents to autonomously explore and acquire skills through online experience. RAX enables agents to write and execute code in real or simulated environments, improving generalization and performance across tasks. The framework supports multiple robot types and demonstrates strong results in benchmark tests.
The paper introduces RAX, an open-source framework for robot agents that enables autonomous exploration and skill acquisition without human intervention. It demonstrates improved performance in simulated environments and highlights the potential for reducing reliance on expert demonstrations.
Source: Chinese robotics — Research news discovery · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
analysis scripts written
23
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▲《Scaling Online Exploration for Robot Agents》 比如，在机器人执行开空气炸锅任务时，智能体一开始要边看深度相机，边写分析脚本，边试动作，花了44分钟，写了23个分析脚本才完成第一次抓取。
Open source S6time spent on task
44 minutes
View original evidence
▲《Scaling Online Exploration for Robot Agents》 比如，在机器人执行开空气炸锅任务时，智能体一开始要边看深度相机，边写分析脚本，边试动作，花了44分钟，写了23个分析脚本才完成第一次抓取。
Open source S6
- paper: not_reported
- code: not_reported
- weights: not_reported
- dataset: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
▲《Scaling Online Exploration for Robot Agents》 比如，在机器人执行开空气炸锅任务时，智能体一开始要边看深度相机，边写分析脚本，边试动作，花了44分钟，写了23个分析脚本才完成第一次抓取。
Open source S6
在仿真实验中，RAX的平均表现比表现最好的基线模型高出 37.4%。
Open source S10
在机器人开空气炸锅任务中，智能体打开空气炸锅抽屉，将一根香蕉放入炸篮，再关闭抽屉。
Open source S22
智能体首先将RGB-D相机采集的观测数据转换为点云，并统一到机器人基座坐标系中。
Open source S23
然后，它利用自身测量得到的数据，构建空气炸锅的几何模型。
Open source S24
智能体会将成功的交互过程，转化为可自主执行的代码程序，并保存可供后续实验和任务复用的知识。
Open source S20
Source：Chinese robotics — Research news discovery · eu.36kr.com