Looks like AMG now will start producing the Axial Flux Motors with AI humanoid robots.
Production of the AMG axial flux motor is being prepared
The Mercedes plant in Berlin-Marienfelde is preparing for the axial flux motor with AI and humanoid robots
From 2026, the innovative electric motors (axial flux motor) will be built at the Mercedes plant in Berlin Marienfelde. Compared to radial flow motors (PSM machines), they are characterized by their extremely compact design and low weight.
Mercedes-AMG will use these engines in numerous derivatives. In addition to the AMG. EA models (AMG GT 4-door) and the AMG E-SUV, these engines will also be used in the AMG Top Performance models of the CLA, GLA, GLB, GLC and C-Class and, from 2027, also in the E-Class. The AMG Top Performance models with the EQ suffix (pure electric car) each have 3 engines. Two motors are mounted on the rear axle (for so-called torque vectoring) and one motor on the front axle. This means that if AMG sells 50,000 units of the above-mentioned models per year, 150,000 axial flux motors will roll off the production line at the Mercedes plant in Berlin Marienfelde.
The plant is now preparing for this with AI-supported processes and humanoid robots (for simple auxiliary activities).
From 2026, the innovative axial flux motor will roll off the production line in Marienfelde, the production of which involves around 100 production processes. Around 65 of these processes are new to Mercedes-Benz, 35 of which represent a world first. Among other things, new forms of laser technology have been combined with innovative joining processes and artificial intelligence. These new production processes were largely developed in-house at Mercedes-Benz and the innovations led to more than 30 patent applications. All this underlines Marienfelde's leading role worldwide in innovations in the production process.
Axial flux motor
Mercedes-Benz has now expanded its MO360 digital production ecosystem with the help of AI-powered features such as the Digital Factory Chatbot Ecosystem and the MO360LLM Suite, as well as humanoid robots from the US company Apptronik. This will further strengthen Berlin-Marienfelde's status as a centre for global innovation. New production processes and functions, which are supported by the Mercedes-Benz Operating System (MB. OS) before they are used on production lines at other Mercedes-Benz assembly plants. For example, Marienfelde played an important role in preparing for the start-up of the new Mercedes-Benz CLA at the Rastatt plant, the first vehicle with MB. OS, which celebrated its world premiere just a few days ago.
"With the Berlin-Marienfelde site, Mercedes-Benz remains a pioneer in automotive production and contributes to the perception of Germany as a global innovation center. Artificial intelligence and humanoid robots open up an exciting new field that makes automotive production more sustainable, efficient and intelligent."
Jörg Burzer, Member of the Board of Management of Mercedes-Benz Group AG, responsible for Production, Quality & Supply Chain Management
Berlin-Marienfelde: Test bench for highly automated robotics in production
Mercedes-Benz strives to equip its employees with state-of-the-art technology – and is bringing Apollo, one of the world's most advanced commercial humanoid robots, to its production facilities. To underline its commitment to the use of humanoid robots in automotive production, the company will invest a low double-digit million amount in Apptronik. The company was founded in 2016 at the Human Centered Robotics Lab at the University of Texas at Austin.
Mercedes-Benz has been using industrial robot technology for particularly monotonous and physically demanding tasks since the 1970s. The company is currently testing the integration of humanoid robots into production, with an initial focus on repetitive tasks within intralogistics. Apptroniks Apollo can be used to transport components or modules to the production line, where they are assembled by highly skilled Mercedes-Benz production staff, and to perform initial quality checks on the components.
The Apollo robots collected data in a production environment to train for specific use cases within MO360. Mercedes-Benz employees with practical experience in production have transferred their knowledge to Apollo with the help of teleoperation processes and augmented reality. Mercedes-Benz is now taking the next decisive step in development at the MBDFC in Berlin: the Apollo robots are learning to act autonomously here – a technological milestone on the way to a flexible, intelligent assistance system for production.
In December, AI-powered humanoid robotics company Apptronik announced a strategic partnership with Google's robotics team, DeepMind. It aims to combine industry-leading AI with state-of-the-art hardware and further develop humanoid robots that can better help humans in dynamic environments.
Artificial intelligence for everyone: smart assistants in everyday production
AI is changing the world and Mercedes-Benz is proactively designing and developing new smart technologies for use in the global production network in the MBDFC. With the MO360 AI Factory, AI is integrated directly into production – intuitive, accessible and usable for everyone. The internally developed Digital Factory Chatbot Ecosystem gives employees access to production databases: Questions about machine maintenance or best practice methods for manufacturing processes can be easily asked via chat and the AI provides immediate and precise answers in several languages.
"AI takes over tasks for us that we usually don't like to do. It gives us the freedom to focus on real innovations, creativity and value-adding activities. I am convinced that AI makes a significant contribution to corporate success if it is used strategically and pragmatically implemented. At Mercedes-Benz, we see them as part of the solution for a successful future."
Katrin Lehmann, Chief Information Officer Mercedes-Benz Group AG and Mercedes-Benz AG
Another example of the practical use of AI is the virtual multi-agent system. AI-powered virtual assistants analyze complex data in real time and can, for example, help quickly identify the causes of sudden quality deviations in production. Instead of a tedious, manual root cause analysis, engineers rely on AI agents from a virtual data science team. These AI agents quickly and reliably analyze available data, identify patterns and anomalies, and provide in-depth analysis and proposed solutions for real efficiency gains in production at the touch of a button.
Das Mercedes Werk Berlin-Marienfelde bereitet sich mit KI und Humanoiden Roboter auf den Axialflussmotor vor
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