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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Chinese automotive major Geely Auto has officially launched its i-HEV Intelligent Hybrid technology, which enters mass production immediately with the system slated for deployment across several models this year, including the Preface, Monjaro, Starray, and the fifth-generation Emgrand.

The technology utilises an artificial intelligence system and a dedicated hybrid powertrain to address historical gaps in fuel efficiency and smart feature integration.

The i-HEV system is built upon the i-CMA architecture, a hybrid-optimised version of the CMA platform that centralises the control of driving, cockpit and chassis functions.

A primary feature is the AI Cloud Power management system, which monitors exterior data such as temperature, humidity and altitude to optimise petrol-electric energy distribution. The company reports that this self-optimising strategy improves energy efficiency by more than 10 percent, while the engine achieves a thermal efficiency of 48.41 percent.

By decoupling the internal combustion engine (ICE) from the electric motor, the i-HEV adopts a motor-led layout designed to provide an electric-drive experience without external charging. The electric motor delivers up to 230kW, allowing the vehicle to operate on electricity for approximately 80 percent of the time. Performance data indicates a claimed zero to 30 kmph acceleration time of 1.84 seconds and a top speed of 66 kmph in electric mode.

The i-CMA architecture incorporates physical separation between oil and electric systems to enhance safety. Battery protection is managed through the Geely Battery Safety System, which includes a liquid-cooled battery with an IP68 resistance rating. The system is capable of real-time prediction for over 50 fault types.

Jerry Gan, CEO, Geely Auto Group, said, “Energy diversification is a strategic foresight for Geely Auto. A company’s true strategic focus is ensuring every path leads to the future, which tests the technological depth and powerful energy resilience of our entire system. The new i-HEV perfectly embodies this resilience, serving as a powerful testament to how artificial intelligence can elevate hybrid efficiency and performance to new industry standards.”

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Tsuyo Manufacturing (Tsuyo), an electric vehicle (EV) powertrain manufacturer, has been named as one of 15 Indian startups selected to represent the country in the deeptech category as part of the CII CIES Startup Delegation to Japan 2026.

The selection allows Tsuyo to engage with Japanese corporations during a period of increased EV expansion in Japan, aiming to establish long-term collaborations in engineering and supply chain integration.

The company specialises in electric powertrain solutions for three-wheelers, light commercial vehicles and heavy commercial applications, with a portfolio ranging from 0.5 kW to 400 kW.

Till date, Tsuyo has sold more than 200,000 motors and maintains partnerships with over 50 original equipment manufacturers (OEMs). The firm operates two manufacturing facilities in Greater Noida and focuses on research and development in collaboration with institutions such as the IITs and NITs.

In addition to its international engagement, Tsuyo recently received Single Window Clearance from the Government of Karnataka for a 20-acre manufacturing and validation campus in the Dharwad–Hubli region. This facility is intended to serve as a hub for the design, testing and large-scale production of powertrain components, reducing the domestic industry’s reliance on imported technology.

Vijay Kumar, Founder and CEO, Tsuyo Manufacturing, said, “Being selected for the CII CIES delegation is a proud moment - not just for Tsuyo, but for the evolution of India’s deeptech ecosystem. At Tsuyo, we see ourselves as a new age EV deep tech startup focused on co-creation, where innovation is built collaboratively across borders. India has the potential to engineer and scale world-class EV powertrain technologies, designed for real-world conditions and global applicability. Japan represents a strong strategic partner with its legacy of engineering excellence and disciplined manufacturing culture. Through this engagement, we aim to explore joint development opportunities, enable deeper supply chain integration, and contribute to the broader ‘Build India’ vision by strengthening local capabilities with global collaboration. Our approach to co-creation goes beyond technology - it extends to building robust supply chains, advancing futuristic mobility solutions, and aligning with the high standards of Japanese engineering. This is how we believe India will transition from being a growing EV market to a globally competitive EV technology hub.”

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Ola Electric has introduced the S1 X+ 5.2 kWh electric scooter, featuring the company’s indigenously developed 4680 Bharat Cell. The company claims that the launch marks the first time this cell technology has been integrated into a mass-market product. The e-scooter is available at an introductory price of INR 129,999 until 15 April.

The S1 X+ 5.2 kWh utilises an 11 kW mid-drive motor and an integrated motor control unit, providing a claimed top speed of 125 kmph and an IDC range of 320 km. It features a brake-by-wire system and front disc brakes. The use of the Bharat Cell reflects the company's strategy of vertical integration, which encompasses cell development, battery pack engineering and vehicle manufacturing.

Currently, Ola Electric’s portfolio includes the Gen 3 S1 scooter series and the Roadster motorcycle range. The S1 Gen 3 line-up consists of the S1 Pro+ and S1 Pro in various battery configurations, while the mass-market segment includes the S1 X+ and S1 X variants. The Roadster series is offered in X+ and X configurations with battery capacities ranging from 2.5 kWh to 9.1 kWh.

“With S1 X+ 5.2 kWh, we are taking our 4680 Bharat Cell to the mass market at scale. The same technology platform we built for our most advanced products is now powering a scooter designed for much wider EV adoption. This is exactly what vertical integration enables - the ability to innovate deeply, scale quickly, and bring our best technology to more and more customers, faster. S1 X+ 5.2 kWh is where performance, range and scale come together, and is another important step towards making EVs accessible to every Indian,” the company said in a statement.

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Bosch and Qualcomm Technologies, Inc. have announced an expansion of their strategic collaboration to include Advanced Driver Assistance Systems (ADAS). This move builds upon their established partnership in cockpit solutions and aims to address the automotive industry's requirement for scalable technology in automated and connected vehicles.

Bosch stated it has now delivered more than 10 million vehicle computers globally using Qualcomm’s Snapdragon Cockpit Platforms.

The extended agreement includes new production programmes for ADAS that utilise Bosch’s vehicle computer architecture powered by the Snapdragon Ride platform. A central component of this collaboration is the development of platforms that combine cockpit and ADAS functions on a single system-on-chip (SoC).

This integration is designed to align with the strategic shift towards software-defined vehicles, allowing automakers to reduce architectural complexity, power consumption, and manufacturing costs.

The Bosch ADAS integration platform is designed as a modular computer capable of fusing data from multiple sensors to create a 360-degree environment model. This system supports a range of functions from entry-level assistance, such as lane keeping and distance regulation, to higher-level automated driving. The joint engineering efforts have already secured several design wins in the East Asian market, with the first vehicles featuring these consolidated platforms expected to enter the market in 2028.

By migrating from numerous individual control units to a small number of high-performance computers, the partnership provides a path toward centralised vehicle architectures.

These solutions are engineered to meet safety standards up to ASIL-D while enabling consumer features such as hands-free driving and intelligent automated parking across various vehicle segments.

Christoph Hartung, Member of the Bosch Mobility business sector board, said, “By combining leading-edge compute technology with our system integration expertise – hardware, software, and safety – we enable automakers to meet the rising demand for personalised, safe and comfortable driving experiences. The growing success of our collaboration with Qualcomm Technologies underlines a central value Bosch brings to the industry: we provide the robust, high-performance computing platforms that form the backbone of today’s software-defined vehicle.”

Nakul Duggal, EVP and Group GM, Automotive, Industrial and Embedded IoT, and Robotics, Qualcomm Technologies, said, “Our collaboration with Bosch spans the full spectrum of vehicle compute – from high‑performance cockpit systems to scalable automated driving solutions and emerging centralised vehicle architectures – all powered by Snapdragon Digital Chassis automotive platforms. ADAS is where performance and safety must scale in the real world. By expanding our work with Bosch into production-ready ADAS platforms, we’re helping automakers bring advanced driver assistance across vehicle lines more efficiently, with a clear path to centralised compute.”

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