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。新的系统和技术，如AutoRT、SARA-RT和RT-Trajectory，基于Robotics Transformers基础模型，有助于简化决策流程、增强环境理解并提高机器人的导航能力。这一系列研究成果标志着迈向更强大的辅助机器人技术的重要步伐。
英文翻译：
News Title: DeepMind Advances Robot Training with Latest Technologies
Keywords: DeepMind, robot training, autonomous data collection
News Content:
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 new systems and technologies, such as AutoRT, SARA-RT, and RT-Trajectory, are built on the Robotics Transformers foundation model, simplifying decision-making processes, enhancing environmental understanding, and improving robot navigation capabilities. This series of research achievements marks an important step towards stronger assistive robot technology.
【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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