近日，全球科技巨头Google的DeepMind团队在机器人领域取得了重大进展，推出了一系列创新系统和模型，旨在解决机器人自主学习和泛化的关键难题。这些最新研究包括AutoRT、SARA-RT和RT-Trajectory，它们都基于Robotics Transformers基础模型构建，预示着机器人技术的未来发展方向。
AutoRT系统致力于优化机器人自主数据收集的能力，通过智能化的数据获取策略，提高训练效率，降低对外部干预的依赖。SARA-RT（自主实时行动）则聚焦于提升机器人对环境的理解和反应速度，使其能更好地适应动态变化的环境。而RT-Trajectory（实时轨迹规划）技术则专注于导航能力的提升，让机器人能够更精准、灵活地规划和执行复杂的行动路径。
这些新系统的推出，标志着Google DeepMind在机器人自主决策和适应性方面的研究迈出了坚实的步伐。它们不仅简化了机器人的决策流程，而且增强了机器人的环境适应性和任务泛化能力，为未来的智能辅助机器人应用奠定了坚实的基础。这一系列创新成果无疑将对工业、医疗、家庭服务等多个领域产生深远影响，推动机器人技术的广泛应用和进步。
来源：Maginative
英语如下：
**News Title:** “Google DeepMind Revolutionizes Robotics: Autonomous Learning Systems Shape the Future”
**Keywords:** DeepMind, Autonomous Robots, Technological Breakthrough
**News Content:**
Title: Google DeepMind Announces Major Breakthrough, Advancing Autonomous Robotics Technology
Recently, the DeepMind team at global tech giant Google has made significant strides in the robotics field, introducing a series of innovative systems and models designed to tackle key challenges in robot self-learning and generalization. These cutting-edge research developments, including AutoRT, SARA-RT, and RT-Trajectory, are all built upon the Robotics Transformers foundational model, signaling the future direction of robotics technology.
The AutoRT system focuses on optimizing a robot’s autonomous data collection capabilities, employing intelligent data acquisition strategies to enhance training efficiency and reduce reliance on external interventions. SARA-RT (Self-Acting Real-Time Actions) enhances a robot’s understanding and responsiveness to its environment, enabling it to adapt more effectively to dynamically changing conditions. Meanwhile, RT-Trajectory (Real-Time Trajectory Planning) specializes in navigation improvements, allowing robots to plan and execute complex action paths with greater precision and flexibility.
These new systems mark a substantial step forward for Google DeepMind in the realm of robot autonomy and adaptability. They streamline the decision-making process for robots while augmenting their environmental adaptability and task generalization capabilities, thereby laying a solid foundation for future applications in intelligent assistive robotics. Undoubtedly, these groundbreaking achievements will have a profound impact on industries such as manufacturing, healthcare, and household services, fostering the widespread adoption and advancement of robotics technology.
**Source:** Maginative
【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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