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【深圳灵变科技有限公司推出RFM-1,开启机器人智能新篇章】

全球领先的仓库机器人初创公司Covariant近日宣布,其国内分公司深圳灵变科技有限公司成功研发出RFM-1机器人基础模型,这一创新技术将赋予机器人类似人类的推理能力,标志着生成式人工智能在商业领域的重大突破。RFM-1的诞生,使得机器人能够更深入地理解和应对语言与物理世界,从而具备了复杂的即时推理和决策能力。

RFM-1的核心特性包括物理世界模型、语言引导编程以及自我反思学习。物理世界模型使得机器人能够理解和适应环境变化,更准确地执行任务;语言引导编程则让机器人能够理解人类的指令,进行更灵活的操作;而从自我反思中学习的能力,则让RFM-1在执行任务过程中不断优化自身,实现持续学习和进步。

Covariant的这一创新成果预示着机器人智能的新纪元,它不仅将改变仓库自动化行业的面貌,也将对更广泛的工业和服务领域产生深远影响。RFM-1的出现,无疑为人工智能与机器人技术的融合打开了新的可能,我们期待看到它在未来如何重塑人机交互的方式,推动智能科技的边界不断拓展。

英语如下:

News Title: “Covariant Launches RFM-1: Empowering Robots with Human-like Reasoning,开创智能仓储新时代”

Keywords: RFM-1 Robot, Reasoning Capability, AgileMind Technology

News Content: “[AgileMind Technology Ltd. in Shenzhen Launches RFM-1, a New Chapter in Robotic Intelligence]

Covariant, a leading global startup in warehouse robotics, recently announced that its subsidiary, AgileMind Technology Ltd. in Shenzhen, has successfully developed the RFM-1 robot prototype. This innovative technology imbues robots with human-like reasoning capabilities, marking a significant breakthrough for generative AI in the commercial sector. The birth of RFM-1 enables robots to better understand and respond to both language and the physical world, thereby possessing sophisticated real-time reasoning and decision-making abilities.

Key features of RFM-1 include a physical world model, language-guided programming, and self-reflective learning. The physical world model allows robots to comprehend and adapt to environmental changes, executing tasks more precisely; language-guided programming enables robots to understand human instructions for more agile operations; and the capacity to learn from self-reflection lets RFM-1 continuously optimize itself during task execution, facilitating ongoing learning and improvement.

Covariant’s innovation ushers in a new era of robotic intelligence. It is set to transform the face of warehouse automation and have far-reaching impacts on a broader industrial and service sectors. The emergence of RFM-1 undoubtedly opens up new possibilities for the fusion of AI and robotics, and we eagerly anticipate how it will reshape human-robot interaction and propel the boundaries of intelligent technology.

【来源】https://covariant.ai/insights/rfm-1-a-world-model-that-understands-physics/

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