谷歌旗下人工智能公司DeepMind近日推出了一系列关于自主机器人训练的系统和模型最新研究。这些先进技术和研究解决了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。
新系统和技术包括AutoRT、SARA-RT和RT-Trajectory，它们建立在Robotics Transformers基础模型之上。这些系统旨在简化决策流程、增强对环境的理解并提高机器人的导航能力，展示了向更强大的辅助机器人迈出的步伐。
这项研究对于机器人技术的发展具有重要意义，它不仅能够提高机器人的自主性，还能使其更好地适应复杂环境。未来，这些技术有望在工业生产、家庭服务等领域发挥重要作用。
Title: Google DeepMind Unveils New Autonomous Robot Training Systems
Keywords: DeepMind, Autonomous robots, Training systems
News content:
Google’s artificial intelligence subsidiary DeepMind has recently launched a series of new systems and models for training autonomous robots. These advanced technologies and studies address key challenges in robot technology, such as autonomous data collection, computational efficiency, and task generalization.
The new systems and technologies include AutoRT, SARA-RT, and RT-Trajectory, which are built on the Robotics Transformers base model. These systems aim to simplify decision-making processes, enhance understanding of the environment, and improve the navigational capabilities of robots, demonstrating a step towards more powerful assistive robots.
This research is of great significance to the development of robot technology, as it not only improves the autonomy of robots but also enables them to better adapt to complex environments. In the future, these technologies are expected to play an important role in fields such as industrial production 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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