Agile Robots has reached a significant cooperation with Google DeepMind to promote the large-scale implementation of robots in real industrial scenarios.

Recently, Agile Robots and Google DeepMind jointly announced that they have reached an important strategic cooperation. The two parties will work together to promote the large-scale implementation of robots with adaptability and reasoning abilities in real industrial scenarios.

This strategic cooperation integrates Google DeepMind's Gemini Robotics foundation model with Agile Robots' scalable industrial robot platform. It will prioritize high-value industrial application scenarios, including 3C manufacturing, automotive manufacturing and other fields with extremely high requirements for adaptability, reliability, and large-scale deployment.

Linear Capital was the lead investor in the angel round of Agile Robots and has continuously increased its investment in subsequent rounds, supporting Agile Robots all the way to grow into a unicorn in the global robotics field.

On March 24th, Munich time, Agile Robots announced a strategic cooperation with Google DeepMind, a world-leading AI laboratory. The two parties will work together to promote the large-scale implementation of robots with adaptability and reasoning abilities in real industrial scenarios.

This cooperation aims to truly bring cutting-edge artificial intelligence into the physical world. It aims to achieve the wide application of adaptable and reasoning-capable robots in industrial environments.

This cooperation stems from the common belief of both parties: After artificial intelligence truly enters the physical world, it will bring about transformative impacts. By integrating cutting-edge AI technology into robot systems in real scenarios, the two parties will jointly create industrial robots with adaptability and reasoning abilities. The cooperation integrates Google DeepMind's Gemini Robotics foundation model with Agile Robots' scalable industrial robot platform.

Agile Robots has a mature and scalable industrial robot platform and continuously accumulated solution capabilities; Google DeepMind provides the cutting-edge research results of the Gemini Robotics foundation model. The cooperation between the two parties means that robots are no longer just automated devices that execute preset instructions, but are evolving into intelligent systems with adaptability, reasoning abilities, and continuous learning capabilities.

Chen Zhaopeng, the founder and CEO of Agile Robots, said: "Agile Robots has deployed more than 20,000 robot solutions globally, which strongly verifies the feasibility of large-scale intelligent automation. In the future, there are huge opportunities in autonomous intelligent production systems that can drive industry-wide transformation. Integrating Google DeepMind's Gemini Robotics foundation model into our robot solutions allows us to stand at the technological forefront of this rapidly growing market."

Carolina Parada, the senior director and head of Google DeepMind's robotics business, said: "We are very glad to cooperate with Agile Robots to jointly develop more advanced AI models and promote the impact of the next generation of robots in various industries. This cooperation is an important step in enabling artificial intelligence to empower the real world."

This cooperation will prioritize high-value industrial application scenarios, including 3C manufacturing, automotive manufacturing and other fields with extremely high requirements for adaptability, reliability, and large-scale deployment.

The core advantage of the Gemini Robotics foundation model lies in its multimodal reasoning and world understanding abilities. It not only helps robots "see" the environment but also helps them "understand" it. Robots will no longer be limited to a single process or fixed path but are expected to gain stronger generalization ability, higher task adaptability, and longer-term autonomous operation ability.

Through joint training, deployment, and testing of robot solutions, a scalable AI flywheel will be built: The data generated by robots in real environments will continuously feed back into model training; stronger model capabilities will further expand the task boundaries of robots. What is formed is not just a simple superposition of "model - hardware" but a self-reinforcing and continuously iterative AI flywheel.

This cooperation once again confirms that the global robotics industry is entering a new stage of development. The in-depth integration of hardware and AI foundation models will become the core driving force for industry competition.

This article is from the WeChat official account "Linear Capital", and is published by 36Kr with authorization.