TVS Mobility Group And Mitsubishi Corp Sign MoU For Employee Exchange

TVS Mobility Group And Mitsubishi Corp Sign MoU For Employee Exchange

TVS Mobility has announced an employee exchange programme with Mitsubishi Corporation (MC), a globally integrated business enterprise with a network of around 1,700 group companies. 

The programme is called as TVS Mobility Mitsubishi Employee Exchange Program (TMMEEP) and will facilitate an arrangement where MC (Japan) hosts TVS Mobility employees with an intention to upskill them, to train them automotive and mobility sector in aspects such as inspection in auctions, service mechanics, etc. 

TVS Mobility, on the other hand will host employees from MC and provide them insights in the digital deployment in aftermarket business. Employees under 45 years of age with over three years of service with TVS Mobility Group and Mitsubishi Corporation would be eligible for the exchange programme.

A first-of-its-kind initiative, TMMEEP is designed to foster mutual growth and innovation; to facilitate seamless cross-learning, enhance skill, domain knowledge and sharing business management expertise besides training the next generation of leaders within the two organisations.

Commenting on the programme, R Dinesh, Director, TVS Mobility Group, said, “We are excited to embark on this journey with Mitsubishi Corporation as there is a huge scope to address skill gaps and share best practices between the two organisations. Further, this platform will enable us to leverage our synergies and identify mutually beneficial projects and initiatives, which could be explored through this two-way cooperation. I am sure this program, through cross learning, will propel both companies to achieve greater heights and collaborative success.”

Wakabayashi, Executive Vice President & Mobility Group CEO, Mitsubishi Corporation, mentioned, "We are pleased to expand mobility business in the Indian market together with the TVS Mobility Group, who has a long history, a proven track record and is trusted by customers. Since we began collaborating with TVS Mobility in 2018 on the TASL/Ki (Automotive spare parts distribution and after-sales service) business, we have strengthened, expanded and deepened our relationship including our recent announcement to join hands with TVS VMS for multi-brand dealership business. With this mutual personnel exchange program, we hope that employees of both companies will not only acquire skills, know-how and expertise, but also gain a deeper understanding of each other's cultures, and contribute to the development of both companies and the development of Japan-India relations over the long term."

Horse Powertrain Launches V20 Engine Via Aurobay Technologies

Horswe V20 Engine

Horse Powertrain, a leading supplier of powertrain solutions, has launched the V20 engine through its Aurobay Technologies division with production already underway at its Skovde, Sweden, manufacturing facility.

The V20 engine aims to assist automakers in meeting emission regulations for 2026 and 2027 with units destined for customers in Europe, the US and Asia. The 2.0-litre, 4-cylinder engine features a single architecture offered in two variants: a 400-volt plug-in hybrid and a 48-volt mild hybrid. The plug-in version provides a reduction in fuel consumption of seven per cent compared to the predecessor.

The platform design intends to reduce material costs. Hardware for the plug-in variant includes a crankshaft-mounted starter-generator, a mechanical water pump, and a re-routed cooling system. Additional updates include a multi-injection fuel system, an engine management system, and an air induction system.

Ingo Scholten, Managing Director, Aurobay Technologies Sweden and Deputy CTO of Horse Powertrain, said, “Designing one engine to meet three different regulatory regimes is harder than designing three separate engines. As the regulatory map is fragmenting, one engine that meets all three sets of rules delivers greater value to our customers, ensuring we can offer greater economies of scale. Pulling that off requires serious engineering. Further, the Skovde team also successfully changed production lines while keeping current production running.”

The Skovde plant integrated a final assembly line with the base assembly line to improve material flow. This transition occurred during ongoing operations. Output is scheduled to increase through 2026 and 2027 to meet demand.

AEye And MoveAWheeL Ink MoU For Automotive Sensing Collaboration

aeye

AEye, Inc. and MoveAWheeL have signed a Memorandum of Understanding to explore the integration of their sensing technologies for use in Advanced Driver Assistance Systems (ADAS) and autonomous driving applications.

The partnership aims to combine AEye’s lidar perception with MoveAWheeL’s road-surface sensing to assist vehicles in interpreting surroundings and road conditions.

The collaboration will evaluate the pairing of AEye’s Apollo LiDAR sensor with MoveAWheeL’s friction-coefficient prediction technology. Apollo is a 1550-nanometer LiDAR sensor capable of detecting objects at distances of up to one kilometre. MoveAWheeL’s sensor uses acoustic sensing to estimate the friction of road surfaces, providing data to inform decisions regarding acceleration, braking and stability control.

Matt Fisch, Chairman and CEO of AEye, said, “Physical AI depends on giving machines the ability to accurately perceive and understand the real world. Apollo was designed to deliver long-range, real-time 3D perception that helps systems see farther and react earlier in complex environments. By exploring the integration of Apollo with MoveAWheeL’s road-surface intelligence, we have the opportunity to create an even deeper understanding of the driving environment, particularly in the adverse conditions where advanced safety systems are needed most.”

Dr. Min-Hyun Kim, Founder and CEO, MoveAWheeL, said, “While LiDAR provides the ‘eyes’ for a vehicle to see obstacles, MoveAWheeL provides the ‘tactile sense’ to feel the road. By integrating our Physical AI with AEye’s long-range perception, we are creating a complete safety stack that remains robust even in the most treacherous weather conditions.”

L&T Technology Services Opens Engineering Intelligence Centre Of Excellence In Europe

LTTS - EI CoE

L&T Technology Services (LTTS), a leading ER&D sevices company, has inaugurated its first Engineering Intelligence Centre of Excellence (EI CoE) in Munich, Germany. The facility marks a step in the company's Engineering Intelligence (EI) strategy, which focuses on embedding AI across the engineering lifecycle to support intelligent products, autonomous operations and manufacturing systems.

The centre aims to assist global enterprises in transitioning from AI experimentation to industrial transformation by combining domain engineering expertise with technologies such as GenAI, Agentic AI, multimodal AI, Physical AI and edge intelligence. LTTS states that it has filed over 237 patents in AI and GenAI during FY2026.

Located within a technology ecosystem, the Munich EI CoE will function as a collaborative hub for clients in the mobility, industrial products, sustainability and technology sectors. Its work will focus on: Applied AI solutions, Intelligent manufacturing, Software-defined products, Predictive operations and Connected engineering ecosystems.

At present, LTTS serves more than 60 clients in Europe with a team of over 4,500 engineers. The new centre is intended to improve local collaboration with clients, partners and academic institutions, facilitating outcome-driven innovation.

Amit Chadha, Chief Executive Officer & Managing Director, L&T Technology Services, said, “LTTS’ first EI Centre of Excellence in our Munich design centre is a milestone as it brings our deep-tech and EI-based solutions closer to the clients’ R&D hubs across the region. The centre will act as a focal point for innovation, R&D and new product development, redefining how products, platforms and manufacturing are engineered and optimised in the AI era.”

Stellantis Partners Accenture And Nvidia To Deploy Manufacturing Digital Twins

Stellantis - Accenture - Nvidia

European automaker Stellantis has announced a strategic initiative with Accenture to deploy artificial intelligence (AI)-enabled digital twin capabilities across its global manufacturing network using Nvidia technologies. The project focuses on creating virtual manufacturing environments powered by real-time data and physical AI.

The collaboration integrates Stellantis's automotive infrastructure, Accenture’s digital manufacturing engineering and Nvidia’s accelerated computing platforms and Omniverse libraries.

The system uses virtual factory replicas to validate manufacturing processes prior to physical installation, track metrics for quality control and conduct predictive monitoring.

Initial testing and deployment of the digital twin infrastructure are scheduled to begin with pilot programmes in North America in 2026. The long-term objective is to evaluate scalability across the carmaker's international plant footprint to establish a predictive manufacturing model.

Francesco Ciancia, Head of Manufacturing, Stellantis, said, “We are laying the foundation for the next generation of manufacturing at Stellantis. By combining digital twins, AI and advanced simulation, we are rethinking how we design, operate and continuously improve our production systems. This initiative is designed to work hand in hand with our teams, enhancing their ability to anticipate issues, enabling faster decisions and continuous improvement. Together with Accenture and NVIDIA, we are exploring new ways to drive more scalable and intelligent operations.”

Tracey Countryman, Supply Chain and Engineering Global Lead, Accenture, added, “The opportunity in manufacturing today is to scale AI across complex industrial operations in ways that deliver measurable business value. By partnering with Accenture and harnessing Nvidia’s compute and simulation technologies, Stellantis is positioned to accelerate manufacturing reinvention and lead the industry into a new era of intelligent, high-performance operations.”

The computational framework is built to enable closed-loop optimisation, a process where physical assembly lines and virtual systems continuously exchange data to improve performance. The architecture supports automated throughput adjustment, maintenance scheduling and software-defined factory operations.