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。研究人员在Robotics Transformers基础模型上开发了这些先进的技术和系统，包括AutoRT、SARA-RT和RT-Trajectory等，以简化决策流程、增强环境理解并提高机器人的导航能力。
DeepMind的这一系列研究成果，标志着我国向更强大的辅助机器人技术迈进的重要步伐。新开发的系统和技术将有助于推动机器人领域的发展，为现实生活中的应用提供了更多可能性。
英文翻译：
News Title: DeepMind Advances Autonomous Robot Training Technology
Keywords: Autonomous robots, deep learning, technological breakthroughs
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 researchers developed these advanced technologies and systems on the basis of the Robotics Transformers foundation model, including AutoRT, SARA-RT, and RT-Trajectory, aiming to simplify decision-making processes, enhance environmental understanding, and improve robot navigation capabilities.
This series of research achievements marks an important step forward in the development of advanced assistive robot technology in China. The newly developed systems and technologies will contribute to the development of the robotics field and provide more possibilities for applications in real life.
【来源】https://www.maginative.com/article/google-deepmind-unveils-latest-research-in-advanced-robotics-with-autort-sara-rt-and-rt-trajectory/
Views: 1