谷歌旗下的DeepMind公司近日发布了一系列关于自主机器人训练的系统和模型最新研究。这些研究旨在解决机器人技术中的关键挑战，如自主数据收集、计算效率和任务泛化等问题。此次发布的新系统和技术，如AutoRT、SARA-RT和RT-Trajectory，都是基于Robotics Transformers基础模型研发的。这些新技术的推出，展示了DeepMind在向更强大的辅助机器人领域迈进的决心。
英文标题：DeepMind Advances Robot Autonomous Training
英文关键词：DeepMind，Robot Training，Autonomous Data Collection
英文新闻内容：
Google’s DeepMind has recently released a series of latest systems and models for autonomous robot training. These studies aim to address key challenges in robot technology, such as autonomous data collection, computational efficiency, and task generalization. The newly released systems and technologies, such as AutoRT, SARA-RT, and RT-Trajectory, are built on the Robotics Transformers base model. The introduction of these cutting-edge technologies demonstrates DeepMind’s commitment to moving towards more powerful assistive robotics.
【来源】https://www.maginative.com/article/google-deepmind-unveils-latest-research-in-advanced-robotics-with-autort-sara-rt-and-rt-trajectory/
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