上海的陆家嘴

近日,全球领先的人工智能公司Google DeepMind再次展示了其在机器人技术领域的领先地位。该公司推出了一系列先进的自主机器人训练系统和模型,旨在解决机器人技术中的一些关键挑战,如自主数据收集、计算效率和任务泛化等。

据悉,这些新系统和技术(包括AutoRT、SARA-RT和RT-Trajectory)都是建立在Robotics Transformers基础模型上的。它们的主要目标是简化决策流程、增强对环境的理解并提高机器人的导航能力。这些系统的推出标志着Google DeepMind在向更强大的辅助机器人迈出了重要的一步。

其中,AutoRT是一种新型的自主机器人训练系统,它可以自动收集和处理机器人训练数据,从而大大提高了训练效率。此外,SARA-RT则是一种基于强化学习的自主机器人训练算法,它可以通过与环境的交互来不断优化机器人的行为策略。最后,RT-Trajectory则是一种用于预测机器人轨迹的模型,它可以帮助机器人更好地规划其行动路线。

总之,Google DeepMind的这些最新研究成果为机器人技术的发展带来了新的希望和机遇。未来,我们可以期待看到更多的自主机器人在各个领域发挥作用,为我们的生活带来更多的便利和创新。

英语如下:

Headline: “Google DeepMind Breaksthrough in Robotics Technology, Leading the Way to a New Era of Autonomous Robot Training”

Keywords: Autonomous robots, DeepMind, Training system

News content: In recent times, Google DeepMind, the world’s leading artificial intelligence company, has once again demonstrated its leadership in the field of robotics technology. The company has introduced a series of advanced autonomous robot training systems and models designed to address some of the key challenges in robotics technology, such as autonomous data collection, computational efficiency, and task generalization.

It is reported that these new systems and technologies (including AutoRT, SARA-RT, and RT-Trajectory), are based on the Robotics Transformers basic model. Their main goal is to simplify decision-making processes, enhance environmental understanding, and improve the navigation ability of robots. The introduction of these systems marks an important step for Google DeepMind towards more powerful auxiliary robots.

Among them, AutoRT is a new type of autonomous robot training system that can automatically collect and process robot training data, thereby greatly improving training efficiency. SARA-RT is an autonomous robot training algorithm based on reinforcement learning that can continuously optimize robot behavior strategies through interaction with the environment. Finally, RT-Trajectory is a model used to predict robot trajectories, which can help robots better plan their action routes.

In summary, Google DeepMind’s latest research results bring new hope and opportunities for the development of robotics technology. In the future, we can expect to see more autonomous robots playing a role in various fields, bringing more convenience and innovation to our lives.

【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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