Note: This press release is a 1:1 copy of the original issued by BMW headquarters in Germany. No adaptions have been made to cater to the UK market. 

Munich / Paris.  The BMW Group and Mistral AI are partnering to advance the use of AI in crash simulation. The aim is to improve quality, accuracy and speed in complex engineering tasks. The collaboration marks a first step towards scaling domain-specific AI across further areas of vehicle development and the BMW Group value chain.   

Note: This press release is a 1:1 copy of the original issued by BMW headquarters in Germany. No adaptions have been made to cater to the UK market.    

Munich. In the BMW i3, as with the BMW iX3, the BMW Group applies a 360° approach to sustainability. At its core is decarbonisation throughout the entire vehicle lifecycle – from product development through the supply chain and production to the end of the use phase. In this way, the second Neue Klasse model also contributes to achieving the ambitious, overarching CO₂e targets the company has set itself.

CO₂e benefits already after 1-2 years of use.
Depending on the drive train variant, annual mileage and source of the electricity used for charging, the new BMW i3 50xDrive already achieves a CO₂e advantage over a comparable model with an internal combustion engine after one to two years of use[1].

Decarbonisation in the supply chain.
Targeted decarbonisation is a key starting point for reducing CO₂e emissions throughout the supply chain. The use of renewable energies, the increasing share of secondary material, and product and process innovations – for example, in the Gen6 cell and high-voltage battery – contribute to a significant emissions reduction across the entire supply chain.
The results of this systematic approach are demonstrated by the emission reductions achieved: Specific measures during product development of the BMW i3 lowered supply chain CO₂e emissions by about a third.[2]

Innovative materials and technologies for interior and exterior.
The “Design for Circularity” principle is also systematically applied in the new BMW i3. The concept incorporates gradually increased use of secondary materials, targeted reduction of material selection and optimised dismantling capability.
For example, the BMW i3 uses 30 percent recycled plastic in its front bumper trim. At the same time, the number of different materials used for the entire bumper, excluding mounted parts, was reduced from 15 to 7, compared to the predecessor model (seventh-generation BMW 3 Series). Due to the high use of a plastic particularly suitable for recycling, the proportion of recyclable plastic was increased from approximately 46 percent in the predecessor to about 85 percent[3]. This enables the recovery of high-quality plastic recyclates from the vehicle.
Another example of how the “Design for Circularity” principle is implemented in the new BMW i3 is the Econeer seat covers offered as part of the “Essential” equipment line, which are made from a recyclable textile composite. The basic material for the upper fabric is 100-percent recycled PET. The use of recycled PET granulate – as the base material for the polyester yarn required – significantly reduces CO₂e emissions and water consumption during manufacturing compared to primary material. The dismantling capability of the seat cover has also been improved to facilitate a material-specific separation at the end of the lifecycle.

Use of secondary materials in the new BMW i3.
The new BMW i3 consists of approx. 30 percent secondary materials in total[4]^: These include cast aluminium components, such front and rear knuckle, with 80 percent secondary material content, and cast aluminium wheel rims with 70 percent secondary aluminium.The housing for the rear electric motor, produced at BMW Plant Landshut, comprises up to two-thirds secondary aluminium. A portion of the energy used in production comes from renewable sources.
In the Gen6 battery cells of the BMW i3 high‑voltage battery, secondary materials are partially used for cobalt, lithium and nickel. Energy from renewable sources is used in manufacturing the anode and cathode materials, as well as for cell production. In comparison to the previous model’s Gen5 cell, CO₂e emissions were reduced by approx. 33 percent per watt hour.
Further examples of the innovative use of engineering and secondary materials include the engine compartment cover and the storage compartment under the BMW i3's bonnet. The starting material for these consists of 30 percent recycled maritime plastic – post-consumer material from used fishing nets and ropes – while the base material for the yarn used in the textiles for the headliner, A-pillar and parcel shelf consists entirely of recycled material.

Enhanced efficiency during use phase.
With the EfficientDynamics technology package, vehicle efficiency is optimised across all subsystems during the use phase.
This encompasses aerodynamics, lightweight construction, rolling resistance and overall energy management, for example. Efficientynamics has been employed by the BMW Group since 2007, across all drive technologies.

BMW Group Plant Munich undergoes extensive modernisation.
BMW Group Plant Munich is the BMW Group’s main plant.For more than a century, the plant has been producing premium mobility in Munich’s Milbertshofen district. Over the past four years, the site has been completely modernised: In addition to a new body shop, a state-of-the-art vehicle assembly was also built, including logistics areas. The new facilities are now in the final stages of construction. Production of the new BMW i3 will get underway here in 2026. Just one year later, the Munich location will transition its production portfolio to exclusively fully-electric vehicles for the Neue Klasse. As the BMW Group’s oldest automobile production site, the plant sources 100 percent of its external electricity requirements from renewable energy.

In line with BMW Group’s sustainable development goals.
The BMW Group’s commitment to the Paris Climate Agreement and to reaching “net zero” no later than 2050 is an integral part of its holistic 360° approach to sustainability, which is anchored in its corporate strategy. The company has set itself ambitious science-based CO₂e targets for the coming years. The BMW Group intends to reduce its CO₂e emissions by a total of at least 40 million tonnes from 2019 levels by 2030.

Transparency through Product Carbon Footprint .
The BMW Group has published its vehicles’ Product Carbon Footprint, as validated by the German Technical Inspection Association (TÜV), for many years in the so-called Vehicle Footprint. This report is publicly available here for all drive trains of the new BMW 3 Series from the Start of Production and can also be accessed in the My BMW app. In this way, the BMW Group creates transparency around the percentage of secondary materials and CO₂e emissions across the vehicles’ entire lifecycle.

Munich. The BMW Group is consistently advancing the digitalisation and use of artificial intelligence in production. A key element in this effort is “Physical AI”, which combines digital artificial intelligence (AI) with real machines and robots. This enables intelligent systems such as humanoid robots to be integrated into real-world production processes.

For the first time, the BMW Group is now bringing Physical AI to Europe and launching a pilot project with humanoid robots at the Leipzig plant. The project aims to integrate humanoid robotics into existing series production of cars and to explore further applications in the production of batteries and components.

“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,” said Milan Nedeljković, Member of the Board of Management of BMW AG, Production.

Last year, the BMW Group successfully implemented a pilot project with humanoid robots at its Spartanburg plant in the United States. The insights gained from this project are being leveraged to further develop and scale Physical AI applications.

Unified IT and data model in the production system
Artificial intelligence is already an integral part of the BMW Group’s production system. From the virtual factory with digital twins and AI‑enabled quality controls to intralogistics with autonomous transport solutions, intelligent systems are used in almost all production steps.

A prerequisite for the effective use of artificial intelligence in production is a unified IT and data model across the entire production system. The BMW Group has consistently transformed isolated data silos into a unified data platform in its production system meaning that all data is consistent, standardised, and available at all times. This enables digital AI agents to take on increasingly challenging tasks autonomously and in complex environments while continuously learning and becoming available for additional areas of application. The introduction of intelligent and autonomous decision‑making agents marks a paradigm shift in production. In combination with robots, these digital AI agents are what make up Physical AI.

“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,” said Michael Nikolaides, Senior Vice President Production Network, Supply Chain Management at BMW Group.

Digitalisation and artificial intelligence are core elements of BMW iFACTORY and are the foundation for future‑proof, flexible, and competitive production.

Humanoid robotics complements existing automation
The BMW Group is strategically expanding its automation portfolio to include Physical AI and humanoid robotics. Humanoid robots are viewed as a value‑adding complement to existing automation. Particularly, they demonstrate potential in monotonous, ergonomically demanding, or safety‑critical tasks. The goal is to relieve employees and further improve working conditions.

Center of Competence for Physical AI in Production consolidates expertise
Its consistent data platform in production makes the BMW Group an attractive partner for technology companies seeking to test the possibilities of Physical AI – particularly humanoid robotics – in an industrial environment under real-world conditions. By setting up the new “Center of Competence for Physical AI in Production”, the BMW Group is taking the next step in consolidating its expertise and ensuring that the full range of knowledge can be leveraged across the organisation.

The BMW Group is following a clearly structured approach. Technology partners are evaluated according to defined maturity and industrialisation criteria and tested in pilot projects under real-world production conditions. Following a theoretical assessment, an evaluation is carried out at the manufacturer’s site in the laboratory using real use cases from the BMW production system to test integration capability. If this phase is successful, it is followed by an initial test deployment under real-world production conditions at a BMW Group plant and subsequently the actual pilot phase.

First pilot project with humanoid robots in Europe
In collaboration with Hexagon, a long‑standing, established partner of the BMW Group in the field of sensor technology and software, the first pilot project in Europe is now underway. Hexagon’s organisational unit located in Zürich, Hexagon Robotics, specialises in Physical AI and presented its first humanoid robot, AEON, in June 2025. Following an initial theoretical evaluation phase and successful laboratory tests, there was an initial test deployment at BMW Group Plant Leipzig in December 2025. A further test deployment is planned from April 2026 to ensure full integration for the actual pilot phase starting in summer 2026.

The deployment in Leipzig is focusing on testing a multifunctional application of the robot. It is based on AEON’s design, whose human‑like body allows a wide range of hand and gripper elements or scanning tools to be flexibly attached and enables dynamic use on wheels. During testing and later in the pilot phase, the robot will be used in the assembly of high‑voltage batteries and in component manufacturing.

Successful pilot at BMW Group Plant Spartanburg provides key insights for use of humanoid robots in production
The world’s first deployment of humanoid robots at a BMW Group plant took place at the Spartanburg plant in the United States in 2025, in collaboration with the technology company Figure AI. The results demonstrated that Physical AI can deliver measurable added value under real-world conditions. Within ten months, the robot Figure 02 supported the production of more than 30,000 BMW X3, working ten-hour shifts daily from Monday to Friday. Figure 02 handled the precise removal and positioning of sheet metal parts for the welding process – a task that is particularly demanding in terms of speed and accuracy while also being physically exhausting. In total, it moved more than 90,000 components and covered approximately 1.2 million steps in around 1,250 operating hours.

The pilot confirmed that humanoid robots can safely perform precise, repetitive work steps – such as positioning components with millimetre precision – and provided important insights for the further deployment of Physical AI in production.

During the initial test phases with Figure 02, it was essential to involve all areas of the production IT infrastructure, occupational safety, production process management, and shop floor logistics at an early stage.

One key finding was that the transition from the laboratory to the actual production environment was faster than expected. Motion sequences trained in the laboratory could be quickly transferred into stable shift operation. To ensure smooth coexistence with existing systems, integration into the BMW Smart Robotics ecosystem was implemented via standardised interfaces.

The body shop was deliberately selected for the test phase in Spartanburg, as it already has a high degree of automation. BMW Group employees in this area have extensive experience in integrating new technologies and processes. For example, material supply on the line is already carried out almost exclusively via automated smart transport robots (STR). The project team’s early communication ensured transparency from the outset and promoted acceptance. The deployment of humanoid robots was met with great interest among employees and quickly became a natural part of everyday work during the course of the project.

The BMW Group and Figure are currently evaluating additional use cases for deploying the Figure 03 robot.

Additional quotes for use:

Michael Nikolaides, Senior Vice President Production Network, Supply Chain Management at BMW Group:
“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:
“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:
“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:
“We are very pleased to be working with the BMW Group to advance the use of humanoid robots in real‑world environments.”

Note: This press release is a 1:1 copy of the original issued by BMW headquarters in Germany. No adaptions have been made to cater to the UK market.  

Munich. The BMW Group is consistently advancing the digitalisation and use of artificial intelligence in production. A key element in this effort is “Physical AI”, which combines digital artificial intelligence (AI) with real machines and robots. This enables intelligent systems such as humanoid robots to be integrated into real-world production processes.

For the first time, the BMW Group is now bringing Physical AI to Europe and launching a pilot project with humanoid robots at the Leipzig plant. The project aims to integrate humanoid robotics into existing series production of cars and to explore further applications in the production of batteries and components.

“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,” said Milan Nedeljković, Member of the Board of Management of BMW AG, Production.

Last year, the BMW Group successfully implemented a pilot project with humanoid robots at its Spartanburg plant in the United States. The insights gained from this project are being leveraged to further develop and scale Physical AI applications.

Unified IT and data model in the production system

Artificial intelligence is already an integral part of the BMW Group’s production system. From the virtual factory with digital twins and AI‑enabled quality controls to intralogistics with autonomous transport solutions, intelligent systems are used in almost all production steps.

A prerequisite for the effective use of artificial intelligence in production is a unified IT and data model across the entire production system. The BMW Group has consistently transformed isolated data silos into a unified data platform in its production system meaning that all data is consistent, standardised, and available at all times. This enables digital AI agents to take on increasingly challenging tasks autonomously and in complex environments while continuously learning and becoming available for additional areas of application. The introduction of intelligent and autonomous decision‑making agents marks a paradigm shift in production. In combination with robots, these digital AI agents are what make up Physical AI.

“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,” said Michael Nikolaides, Senior Vice President Production Network, Supply Chain Management at BMW Group.

Digitalisation and artificial intelligence are core elements of BMW iFACTORY and are the foundation for future‑proof, flexible, and competitive production.

Humanoid robotics complements existing automation

The BMW Group is strategically expanding its automation portfolio to include Physical AI and humanoid robotics. Humanoid robots are viewed as a value‑adding complement to existing automation. Particularly, they demonstrate potential in monotonous, ergonomically demanding, or safety‑critical tasks. The goal is to relieve employees and further improve working conditions.

Center of Competence for Physical AI in Production consolidates expertise

Its consistent data platform in production makes the BMW Group an attractive partner for technology companies seeking to test the possibilities of Physical AI – particularly humanoid robotics – in an industrial environment under real-world conditions. By setting up the new “Center of Competence for Physical AI in Production”, the BMW Group is taking the next step in consolidating its expertise and ensuring that the full range of knowledge can be leveraged across the organisation.

The BMW Group is following a clearly structured approach. Technology partners are evaluated according to defined maturity and industrialisation criteria and tested in pilot projects under real-world production conditions. Following a theoretical assessment, an evaluation is carried out at the manufacturer’s site in the laboratory using real use cases from the BMW production system to test integration capability. If this phase is successful, it is followed by an initial test deployment under real-world production conditions at a BMW Group plant and subsequently the actual pilot phase.

First pilot project with humanoid robots in Europe

In collaboration with Hexagon, a long‑standing, established partner of the BMW Group in the field of sensor technology and software, the first pilot project in Europe is now underway. Hexagon’s organisational unit located in Zürich, Hexagon Robotics, specialises in Physical AI and presented its first humanoid robot, AEON, in June 2025. Following an initial theoretical evaluation phase and successful laboratory tests, there was an initial test deployment at BMW Group Plant Leipzig in December 2025. A further test deployment is planned from April 2026 to ensure full integration for the actual pilot phase starting in summer 2026.

The deployment in Leipzig is focusing on testing a multifunctional application of the robot. It is based on AEON’s design, whose human‑like body allows a wide range of hand and gripper elements or scanning tools to be flexibly attached and enables dynamic use on wheels. During testing and later in the pilot phase, the robot will be used in the assembly of high‑voltage batteries and in component manufacturing.

Successful pilot at BMW Group Plant Spartanburg provides key insights for use of humanoid robots in production

The world’s first deployment of humanoid robots at a BMW Group plant took place at the Spartanburg plant in the United States in 2025, in collaboration with the technology company Figure AI. The results demonstrated that Physical AI can deliver measurable added value under real-world conditions. Within ten months, the robot Figure 02 supported the production of more than 30,000 BMW X3, working ten-hour shifts daily from Monday to Friday. Figure 02 handled the precise removal and positioning of sheet metal parts for the welding process – a task that is particularly demanding in terms of speed and accuracy while also being physically exhausting. In total, it moved more than 90,000 components and covered approximately 1.2 million steps in around 1,250 operating hours.

The pilot confirmed that humanoid robots can safely perform precise, repetitive work steps – such as positioning components with millimetre precision – and provided important insights for the further deployment of Physical AI in production.

During the initial test phases with Figure 02, it was essential to involve all areas of the production IT infrastructure, occupational safety, production process management, and shop floor logistics at an early stage.

One key finding was that the transition from the laboratory to the actual production environment was faster than expected. Motion sequences trained in the laboratory could be quickly transferred into stable shift operation. To ensure smooth coexistence with existing systems, integration into the BMW Smart Robotics ecosystem was implemented via standardised interfaces.

The body shop was deliberately selected for the test phase in Spartanburg, as it already has a high degree of automation. BMW Group employees in this area have extensive experience in integrating new technologies and processes. For example, material supply on the line is already carried out almost exclusively via automated smart transport robots (STR). The project team’s early communication ensured transparency from the outset and promoted acceptance. The deployment of humanoid robots was met with great interest among employees and quickly became a natural part of everyday work during the course of the project.

The BMW Group and Figure are currently evaluating additional use cases for deploying the Figure 03 robot.

Additional quotes for use:

Michael Nikolaides, Senior Vice President Production Network, Supply Chain Management at BMW Group:

“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:

“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:

“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:

“We are very pleased to be working with the BMW Group to advance the use of humanoid robots in real‑world environments.”