The BMW Group is accelerating the digital transformation of its manufacturing operations by embedding artificial intelligence deeply into physical processes. A central focus of this strategy is Physical AI, a concept that unites digital intelligence with machinery and robotics. This integration allows systems like humanoid robots to function effectively within live production environments. For the first time, this approach is being introduced in Europe through a pilot project at the company’s Leipzig plant, where humanoid robots will be tested in the assembly of high-voltage batteries and component manufacturing. This initiative builds on a previous deployment at the Spartanburg plant in United States, where valuable experience was gained and is now being used to refine and scale the technology.

Artificial intelligence is already embedded throughout the BMW production system, underpinning functions such as digital twins, AI-supported quality assurance and autonomous transport in intralogistics. A unified data architecture serves as the foundation for this intelligence, enabling real-time access to consistent and standardised information across all manufacturing locations. This infrastructure supports the deployment of digital AI agents capable of autonomous decision-making in complex environments. When these agents are paired with robotic systems, they give rise to Physical AI, which represents a significant evolution in production technology.

The company views humanoid robotics as a strategic addition to its automation portfolio. These robots are particularly suited to tasks that are repetitive, physically strenuous or present safety risks. By deploying them in such roles, the company aims to reduce physical strain on employees and enhance workplace conditions. To drive this forward, a Center of Competence for Physical AI in Production has been established to consolidate expertise and facilitate knowledge sharing across the organisation.

A structured process governs the evaluation of potential technology partners. Candidates are assessed against criteria related to maturity and industrial applicability, followed by laboratory testing using real production scenarios. Successful tests lead to limited deployments under actual factory conditions before advancing to full pilot phases. This methodology ensures that only thoroughly vetted solutions are integrated into series production.

The Leipzig pilot is being conducted in collaboration with Hexagon, a longstanding partner specialising in sensor technology and software. Following theoretical and laboratory evaluations, an initial deployment of Hexagon’s humanoid robot, AEON, took place at the plant in December 2025. A second test phase is scheduled for April 2026, with the full pilot set to begin in the summer of that year. The robot’s human-like design allows for the attachment of various tools and grippers, making it adaptable for multiple tasks in battery assembly and parts manufacturing.

Earlier work at the Spartanburg plant provided critical insights into the practical application of humanoid robotics. In partnership with Figure AI, the robot Figure 02 was deployed in body shop operations, where it handled the precise placement of sheet metal parts for welding. Over 10 months, the robot supported the production of more than 30,000 vehicles, operating in 10-hour shifts and handling over 90,000 components. The pilot demonstrated that humanoid robots could perform high-precision tasks reliably and safely in a live production setting. It also highlighted the importance of early collaboration with teams responsible for IT infrastructure, safety and logistics. Seamless integration into the existing automation ecosystem was achieved through standardised interfaces, and employee reception was notably positive, aided by transparent communication from the outset.

The success of these initial deployments has paved the way for further collaboration. BMW and Figure are currently exploring additional applications for the next-generation Figure 03 robot, continuing to build on the foundation established in both United States and Europe.

Milan Nedeljković, Member of the Board of Management of BMW AG, Production, said, “Digitalisation improves the competitiveness of our production – here in Europe and worldwide. The symbiosis of engineering expertise and artificial intelligence opens up entirely new possibilities in production,”.

Michael Nikolaides, Senior Vice President Production Network, Supply Chain Management at BMW Group, said, “Our aim is to be a technology leader and to integrate new technologies into production at an early stage. Pilot projects help us to test and further develop the use of Physical AI – that is, AI‑enabled robots capable of learning – under real-world industrial conditions. The successful first deployment of humanoid robots at our BMW Group plant in Spartanburg in the USA proves that a humanoid robot can function not only under controlled laboratory conditions but also in an existing automotive manufacturing environment.”

Michael Ströbel, Head of Process Management and Digitalisation, Order to Delivery at BMW Group, said, “We are delighted to deploy a humanoid robot for the first time in a pilot project at a plant in Germany. Following evaluation by our Center of Competence for Physical AI in Production, tests were carried out in the laboratory and at Plant Leipzig at the end of last year. This year, our focus is on step‑by‑step integration into our production system to explore a wide range of applications. The emphasis is on researching multifunctional use of the robot in various production areas such as battery manufacturing for energy modules and component production for exterior parts. With Hexagon, we have found a proven long‑standing partner with a highly innovative approach to humanoid robotics for this project.”

Felix Haeckel, Team Lead CoC Physical AI for Production, said, “At our new Center of Competence for Physical AI in Production, we are pooling our expertise to make knowledge on AI and robotics widely usable within the company. In recent years, we have built up an international team of experts that, in addition to in‑house research and programming, is dedicated to the gradual integration of AI into the existing production system. At the same time, our team in Munich is driving its own robotics research to set up, support and further develop pilot projects in the field of Physical AI at our plants.”

Arnaud Robert, President of Hexagon Robotics, said, “We are very pleased to be working with the BMW Group to advance the use of humanoid robots in real‑world environments.”

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Coretura, a 50:50 joint venture between Daimler Truck and Volvo Group, has entered into an engineering agreement with Accenture to accelerate the development of a software platform for commercial vehicles.

The company, headquartered in Gothenburg, Sweden, currently employs over 100 engineers. It continues to recruit specialists in system architecture, high-performance computing and cloud infrastructure to support its roadmap, which targets the delivery of its first commercialised products towards the end of the decade.

Coretura intends to create a single software platform, language and standard for trucks, buses and other heavy-duty transport vehicles. The platform is designed to support vehicle lifecycles of more than 15 years, moving the industry away from projects that require custom software development for each new vehicle.

As the engineering partner, Accenture will support development across several areas, including:

• Electrical and Electronic (E/E) architecture
• Software abstraction and hardware integration
• Embedded software, middleware, and cybersecurity
• Functional safety and cloud infrastructure

The platform aims to provide a reusable software stack to lower costs and standardise time-to-market for global manufacturers. For fleet operators, the system is designed to allow for continuous software updates and performance upgrades delivered over the air.

Johan Lunden, CEO, Coretura, said, “Our purpose is to advance mobility at the speed of ideas, and that takes depth. Building a full-stack SDV platform demands expertise across embedded software, middleware, cybersecurity, and functional safety, all designed for vehicles with lifecycles measured in decades. Accenture’s reinvention capabilities let us move faster without compromising the standards our customers depend on. This is acceleration, not course correction.”

Rainer Oder, SDV Embedded Software Lead, Accenture, added, “Helping the industry advance software-defined vehicles is a priority for Accenture. Our landmark collaboration with Coretura is designed to change embedded software engineering for automotive platforms. Together, we are looking to solve the challenges of a fully software-defined architecture – addressing critical areas such as hardware abstraction, API management and AI-based engineering optimisations.”

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The ePlane Company has announced the completion of its full-scale electric vertical takeoff and landing (eVTOL) aircraft, the e200X. Designated PT-01, the prototype has successfully integrated all core subsystems into a single structure, marking the transition from design and simulation to physical testing.

The e200X is designed as a single airframe versatile enough to serve three distinct markets – Passenger Air Taxi, Urban Cargo Carrier and Air Ambulance.

The company emphasises that the aircraft was designed to be compact, allowing it to integrate into existing urban infrastructure without requiring significant city redesigns.

Developed at the company's own facilities in Chennai, the e200X features in-house development of major components, including propellers, airframe structure, landing gear and battery pack.

This vertical integration provides the company with control over performance, manufacturing costs, and iteration speed, having reached this milestone on approximately USD 21 million in funding.

With assembly complete, the e200X will now undergo ground testing, flight testing and certification.

Prof. Satya Chakravarthy, Founder, The ePlane Company, said, "We set out to build an electric aircraft to a world-class benchmark, engineered and manufactured in depth in India for the World.  We deliberately designed the e200X to be compact, because an aircraft that asks a city to rebuild itself around it will not solve the problem it was built to solve. The same airframe can move people as an air taxi, carry goods as a cargo aircraft, and save lives as an air ambulance, and it can do all three using the infrastructure cities already have. That combination of real capability and capital efficiency is how we intend to compete, and win, in markets around the world.”

The company’s board includes prominent figures such as Vishesh Rajaram (Speciale Invest), Eash Sundaram (JetBlue) and Aditya Ghosh (Homage, Akasa Air). The venture, incubated at IIT Madras, has also received international recognition, including being showcased at Bharat Innovates 2026 and featured in Nvidia Founder Jensen Huang’s GTC keynote.

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Chinese technology company Xiaomi has marked a new milestone for its automotive product offering with its electric vehicle.

The company has announced a significant milestone in autonomous vehicle technology by completing the first official autonomous lap of the Nurburgring Nordschleife circuit in Germany with the Xiaomi YU7 GT, equipped with a Track Package, navigating the 20.8 km circuit without a human driver, recording a lap time of 10:29.483.

Following this performance, the Nurburgring has introduced a new official vehicle category: Autonomous Driving (under Electric Vehicles).

The Xiaomi YU7 GT autonomously navigated all 73 corners of the Nordschleife, managing 300 metres of elevation change and varying road surface conditions. The performance was driven by Xiaomi’s autonomous driving system, which integrates the Xiaomi XLA architecture and the MiMo-Embodied foundation model introduced in March 2026. The end-to-end architecture enabled the vehicle to coordinate steering, braking and power delivery in real-time, maintaining stability under high-speed and high-load conditions.

Xiaomi’s autonomous driving programme has evolved since the 2024 launch of Xiaomi HAD. The current system moves beyond simple behaviour imitation toward autonomous decision-making and deeper environmental interpretation. The company stated that the Nurburgring project serves as a critical testing ground to collect data for refining vehicle dynamics modelling, control strategy optimisation and safety redundancy mechanisms.

This achievement underscores Xiaomi’s commitment to advancing artificial intelligence in the automotive sector through rigorous real-world validation.

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QuantumScape Corporation has announced a multi-year joint research agreement with Honda R&D Co., a subsidiary of Honda Motor Co.

The collaboration focuses on advancing QuantumScape’s solid-state lithium-metal battery platform, including the development of associated manufacturing processes.

This agreement follows a successful technology evaluation period during which Honda conducted a technical study and competitive benchmarking of QuantumScape’s battery platform.

Atsushi Ogawa, Chief Operating Officer, Research Center of Excellence, Honda R&D Co, said, “QS technology demonstrated compelling and unique advantages during our evaluation. We see potential for QS technology to add value across a range of applications, including automotive, and we are excited to move forward into the next phase of our partnership.”

Dr. Siva Sivaram, CEO and President, QuantumScape, added, “Honda is a leading global automaker renowned for its engineering excellence and product quality across automotive and other applications worldwide, and its evaluation represents one of the most rigorous assessments of our technology to date. This agreement reflects the growing confidence in QS solid-state lithium-metal batteries to enable safer, higher-density energy storage.”

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