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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The Applied AI Research Centre (INAI) at IIIT-Hyderabad has developed an artificial intelligence traffic violation detection system named VIOLA. The project uses dashcams installed in police patrol vehicles to detect traffic infractions and integrate with the Telangana Police e-Challan workflow.

Govind Krishnan, who leads translational AI initiatives for mobility at INAI, said that the question is not why accidents happen. “We already know the answers. The real question is: How can we help solve this problem? Or more importantly, how can artificial intelligence help solve this?”

The system builds upon prior research from Prof. Ravi Kiran S at the Centre for Visual Information Technology (CVIT) regarding helmet detection. By mounting cameras on police vehicles, the setup monitors infractions such as helmet violations, triple riding and wrong-side driving across routes.

Prithvi Jonnada, Operations Manager at INAI, explained, “We let the cameras record their daily rounds, fed the footage into an AI system capable of detecting traffic violations, recognising licence plates and automatically forwarded verified cases to Telangana Police’s e-Challan system. This is a mandate from the police department to have a human in the loop thus ensuring the AI acts as an assistant, not a replacement, for human judgment.”

With four dashcams deployed, the system reports an accuracy rate for submissions. The INAI team is expanding the algorithm to include speed detection and road condition monitoring.

Dr. Ganesh Yalla, CEO, iHub-Data, added, “People don’t expect an academic institution to build a complete industrial-grade product that is deployed and generating real impact. We want to change that.”

Discussions are underway with police departments outside Telangana for broader implementation.

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Cars24, a leading online vehicle selling and buying marketplace, has reported that it has processed 1.1 trillion AI (artificial intelligence) tokens during Q1 of FY2026, marking a shift in its business model.

The company stated that AI expenditure now represents 8.88 percent of the company's salary run-rate, with 95 percent of its employees use AI weekly and 89 percent of production code is AI-assisted, contributing to a reported 3x increase in engineer productivity.

Furthermore, for customer operations, AI platforms analysed 9.81 million conversations. Voicebots handled 2.58 million minutes and chatbots processed 550,000 requests.

In terms of inspections, 80 percent of vehicle inspections – totalling 288,000 – were conducted via AI-led systems, reducing the average inspection time from 45 minutes to 26 minutes.

AI-led loan disbursals accounted for 65 percent of the total, amounting to 4,158 disbursals. The company’s Document AI processed 850,000 documents, while its Agentic AI platform executed 5.71 million workflows.

At present, Cars24 operates six in-house platforms supporting 25 use cases, including computer vision, lending and workflow automation. Its imaging platform processes 50,000 vehicle images per month.

Vikram Chopra, Founder & CEO, Cars24, said: "AI is no longer improving isolated workflows, it is becoming the operating system of Cars24. Processing over one trillion AI tokens in a single quarter reflects the scale at which intelligence now powers every part of our business. From customer conversations and vehicle inspections to engineering and operations, we are building one AI that understands context, learns continuously and simplifies every stage of vehicle ownership."

Looking forward, Cars24 plans to develop a unified AI layer that integrates buying, selling, financing and ownership services by utilising its data from the past 11 years.

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Tata Elxsi, a leading design and technology solutions company, has announced its financial results for Q1 FY2027, reporting operating revenue of INR 10.21 billion, up 2.8 percent over the previous quarter and 14.5 percent YoY.

For Q1 FY2027, the company’s EBITDA came at INR 2.16 billion with a margin of 21.2 percent and a profit after tax (PAT) of INR 1.7 billion, up 18.2 percent YoY.

The company’s revenue from the transportation segment grew 13.3 percent YoY, supported by engagements in off-road and aerospace segments. Automotive OEM revenue now accounts for 78 percent of the division's total revenue. The media & communications segment revenue grew 22.2 percent YoY, while healthcare and life sciences clocked 1.7 percent growth QoQ.

Manoj Raghavan, CEO and Managing Director, Tata Elxsi, said, “For the quarter, Tata Elxsi delivered a healthy performance with growth in our two primary verticals, supported by strong deal execution and continued momentum in large strategic engagements. We also crossed a key milestone of reporting operating revenue of more than Rs. 1,000 crores in the current quarter. The performance in the quarter reflects the strength and increasing relevance of our design-led and AI-enabled engineering capabilities in our chosen industries.”

“FY2027 marks a year of future focus for the company, as we prepare and equip ourselves for a world reshaped by AI. We are making targeted investments in specialized talent, AI powered platforms, tools and infrastructure, to pivot to a Domain + AI future. These investments are enhancing customer value creation with tangible outcomes and opening new avenues for growth and positioning us for the year and decade ahead,” he concluded.

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Chinese automotive major BYD Group showcased eight model debuts at the 2026 Goodwood Festival of Speed, where it occupied a 2,016 square metre stand. The display featured vehicles from the BYD, DENZA and YANGWANG brands, with several models participating in the hillclimb event.

At the event, BYD introduced the DOLPHIN G DM-i, a supermini featuring Dual Mode Super Hybrid technology that pairs an electric motor with a 1.5-litre petrol engine. The manufacturer also presented the SHARK pickup, which produces 436PS and accelerates from 0-62mph (0-100 kmph) in 5.7 seconds.

DENZA unveiled the Z sports car, a coupe with 1604PS and a top speed of 217mph (350 kmph), which was presented by Stella Li and 2009 Formula 1 World Champion Jenson Button. The brand also displayed the BAO 5 SUV, which incorporates DMO (Dual Mode Off-road) technology. Additionally, DENZA demonstrated charging speeds of up to 1,500kW, allowing vehicles to charge from 10-70 percent in five minutes.

YANGWANG exhibited the U9 Xtreme, a production car with a top speed of 308.3mph (496 kmph) and a 1200V powertrain. The brand also displayed the U8L SUV and the U7 saloon.

Stella Li, Executive Vice President, BYD, said, "It's been an exciting privilege to play such a central role at this year's Goodwood Festival of Speed. Our stand has been the focal point for thousands of visitors, who've been able to explore a host of new models – our incredible DENZA Z and DENZA BAO 5, as well as the BYD SHARK and, for the first time in the UK, the DOLPHIN G DM-i. We've really enjoyed meeting car enthusiasts from around the world, and it's been a particular thrill to see our cars, such as the YANGWANG U9X, going up the iconic hillclimb. Goodwood really is a global centrepiece for car culture, and we're delighted to have been able to show how our new-energy technologies are creating advances in sustainable mobility around the world."

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