谷歌旗下的DeepMind公司近日公布了一系列关于自主机器人训练的系统和模型的最新研究。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。
DeepMind推出的一系列先进技术和研究，包括AutoRT、SARA-RT和RT-Trajectory等系统，这些系统基于Robotics Transformers基础模型构建。研究人员表示，这些新系统和技术可以简化决策流程、增强对环境的理解并提高机器人的导航能力。
此次公布的研究成果，展示了DeepMind在向更强大的辅助机器人领域迈进的重要步伐。此外，这些成果还将有助于推动机器人技术在各个领域的应用，如工业、医疗、家庭服务等。
英文翻译：
News Title: DeepMind Advances Robot Training with Latest Research
Keywords: DeepMind, robot training, autonomous data collection
News Content:
Google’s DeepMind has recently published a series of latest studies on autonomous robot training systems and models. These studies aim to address key challenges in robot technology, such as autonomous data collection, computational efficiency, and task generalization.
DeepMind has introduced a series of advanced technologies and research, including AutoRT, SARA-RT, and RT-Trajectory systems, among others. These systems are built on the Robotics Transformers foundation model. Researchers say these new systems and technologies can simplify decision-making processes, enhance understanding of the environment, and improve robot navigation capabilities.
The announced research achievements demonstrate DeepMind’s significant steps towards developing stronger assistive robots. Additionally, these achievements will also contribute to the advancement of robot technology in various fields, such as industry, healthcare, and home services.
【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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