Motion plastics manufacturer, Igus India expanded its footprint in the country by inaugurating a new manufacturing plant spanning 92,000 square feet in Bengaluru Thursday. 

The state-of-the-art plant in Mandur near Budigere in Bengaluru comes at a point when the company prepares to focus on new divisions dedicated to the semi-conductor and renewable energy sectors, areas poised for substantial growth. The expansion is part of Igus’s long-term strategy to enhance its operational capabilities and support its extensive customer base in India.

The newly inaugurated facility is a testament to the company’s long-term commitment to India, involving an investment of over INR 1 billion. This financial outlay reflects the company’s dedication to maintaining its competitive edge through innovation and cutting-edge technology. 

Of the total investment, INR 200 million have been allocated for setting up the factory, INR 400 million for advanced injection moulding machines and INR 200 million for enhancing the manufacturing process. The plant’s infrastructure is designed to meet the high standards of motion plastics production, ensuring that Igus India continues to deliver world-class products tailored to the unique demands of the Indian market.

Since its establishment as a wholly-owned subsidiary in 2000, Igus India has become a prominent player in the motion plastics industry, catering to over 19,000 customers across the country. The company’s extensive product catalogue boasts 125,000 parts, which are used in a variety of customer-driven assemblies, many of which are customized and assembled locally. This vast array of products underscores Igus’s commitment to innovation and customer satisfaction, with over 200 new products introduced annually. The company’s ability to adapt to the evolving needs of its customers has been a key driver of its success in the competitive Indian market.

Looking ahead, Igus India has ambitious plans to further strengthen its operational capabilities and market presence. The company is eyeing significant revenue growth, with expectations of reaching INR 3.4 billion in revenue this year. To support this growth and enhance its logistical efficiency, Igus India plans to establish new logistics and assembly centres in Pune, Gurugram and Noida. These new facilities will enable Igus to better serve its customers across India, reducing lead times and improving overall service delivery.

The focus on emerging industries like semi-conductors and renewable energy is a strategic move by Igus India to align itself with sectors that are poised for substantial growth in the coming years. As India continues to invest in its semi-conductor manufacturing capabilities and renewable energy infrastructure, the demand for high-quality motion plastics is expected to rise. Igus India’s expansion positions the company to capitalise on these opportunities, offering innovative solutions that meet the specific needs of these rapidly growing industries.

The opening of the new manufacturing facility in Bengaluru marks a significant milestone for Igus India, reinforcing its position as a leader in the motion plastics industry. With a strong commitment to innovation, customer satisfaction and market expansion, Igus India is well-positioned to achieve its growth objectives and continue delivering value to its customers across the country. 

Emphasising the strategic importance of this expansion, Igus India Managing Director Deepak Paul stated, “The Indian market presents tremendous potential for Igus as demonstrated by our continued growth and investment here. Our objective is to deliver cutting-edge products and solutions not only to our customers in India but also on a global scale. Igus’s global focus on cost-sensitive and sustainable solutions, encapsulated in our motto ‘Tech up, cost down,’ is perfectly aligned with the Indian approach to technology and innovation. This alignment has been a key driver of our significant growth in the country. As we look forward, our plans include expanding beyond Bengaluru, with logistics and assembly centres set to be established in Pune, Gurugram, and Noida.”

 Igus India is currently the 6th largest subsidiary among Igus’s 38 global subsidiaries, a position that reflects its strong performance and growth potential. Over the past two years, Igus India has doubled its market growth, with revenue figures climbing from INR 1.99 billion to INR 3.13 billion. The company expects this upward trajectory to continue. Additionally, Igus India has invested in a clean room testing facility in Germany and plans to establish a similar setup in India, further enhancing its product development and quality assurance capabilities.

Commenting on the occasion, Country Manager and Director Santhosh Jacob said, “Technology and innovation are at the core of everything we do at Igus. With a catalogue of 125,000 parts and 247 new products introduced this year, we are constantly inspired by our customers’ needs to push the boundaries of what is possible. Our ongoing expansion of the motion plastics product world, coupled with the integration of digitalization and AI, is a testament to our long-term corporate strategy. We are making significant progress in embedding digitalization as a key technology at Igus, which will play a crucial role in our future growth and success.”

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Horse Powertrain has announced kAIros, a company-wide artificial intelligence (AI) initiative led by its Horse Technologies division. The programme aims to reduce time-to-market by nearly 50 percent, decrease low-value process work by 40 percent and improve design cycle efficiency by 25 percent.

The initiative is supported by Nvidia, Google Cloud and Deloitte, focussing on engineering, production and business operations.

At the core of the initiative is the Horse Powertrain AI Factory, which supports model training, simulations and digital twins. The infrastructure is designed to generate training data to refine models and improve real-world deployment.

The technical framework includes:

• Nvidia RTX PRO servers equipped with Blackwell Server Edition GPUs.
• Google Cloud NVIDIA RTX 6000 Blackwell Server Edition GPUs.
• Nvidia AI software, including CUDA-X, Omniverse and Cosmos, to accelerate application development.
• Google Gemini Enterprise for the deployment of AI agents to automate coordination tasks.

The kAIros initiative supports physical AI, connecting real-world operations with virtual systems in real time. This integration enables autonomous decision-making for cobots, automated guided vehicles and smart machinery. Key applications include video-based quality inspection, product simulation and robotics for process optimisation across factories and logistics.

A Centre of Excellence has been established to lead internal AI development. This multifunctional team will build applications to scale industrial expertise across the organisation and improve predictive accuracy in propulsion solutions.

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NXP Semiconductors has announced a series of robotics solutions designed for real-time data processing, sensor fusion and motor control. Developed in collaboration with Nvidia, these ready-to-deploy systems implement the Nvidia Holoscan Sensor Bridge with NXP’s system-on-chip (SoC) technology to reduce component count, power consumption and costs in robotic development.

The solutions focus on Physical AI, which requires low-latency data transport to synchronise motion and sensor data. By integrating the Holoscan Sensor Bridge into NXP's software, developers can establish a direct transport route between a robot's body and its central processing unit.

The architecture incorporates several NXP technologies:

• i.MX 95 Applications Processor: A machine vision solution designed to deliver high-bandwidth data to the robot brain.
• i.MX RT1180 Crossover MCUs: A motor control solution based on a kinematic chain.
• S32J TSN Switch: Aggregates motor control data and provides direct connectivity to the brain using Time-Sensitive Networking (TSN) and EtherCAT protocols.
• Asymmetric Data Transport: Technology acquired through Aviva Links to manage high-throughput data across the robot body.

The unified architecture is designed to support humanoid form factors, which require complex motor synchronisation and real-time perception. NXP’s automotive-grade networking and functional safety expertise are used to ensure the reliability of these systems in physical environments.

Charles Dachs, Executive Vice-President and General Manager, Secure Connected Edge at NXP Semiconductors, said, “Physical AI is redefining what machines can do in the real world, and humanoid robots represent the most complex expression of that revolution. By combining NXP’s deep expertise in edge processing, secure networking, functional safety and real-time control with Nvidia robotics platforms, we are greatly simplifying physical AI development, enabling seamless connectivity between the physical AI edge and the central brain. This is just the beginning of what NXP will deliver to accelerate the ecosystem for physical AI.”

Deepu Talla, Vice-President of Robotics and Edge AI, Nvidia, commented, “The development of autonomous machines requires a high-performance computing architecture that can synchronize complex motor controls with real-time perception. By integrating Nvidia Holoscan Sensor Bridge into its edge portfolio, NXP is providing developers with a scalable foundation to accelerate the deployment of physical AI.”

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Tokyo-headquartered deep-tech company TIER IV has announced that it has developed new software stacks for Level 4 autonomous driving powered by data-centric artificial intelligence. The software is available via Autoware, an open-source platform, and is designed to be hardware-agnostic, supporting various system-on-chip (SoC) and sensor configurations.

The software stacks are built on an end-to-end (E2E) architecture and offer two primary configurations to allow adaptability across diverse driving environments:

• Hybrid System: Utilises perception and planning AI. It employs diffusion models to capture temporal changes in surroundings and generates trajectories by combining machine learning models with environment perception.
• E2E System: Integrates perception, planning, and control into a single learning process. It uses world models to treat surroundings and driving status as vector representations, creating a pipeline from recognition to vehicle operation.

Automakers can use TIER IV’s machine learning operations (MLOps) platform to iterate AI models. The platform manages data-quality validation, anonymisation and tagging, while generating synthetic and real-world datasets for system evaluation.

TIER IV has commenced 60-minute test runs in three global hubs to validate the technology under distinct traffic conditions:

• Tokyo: Collaborating with the University of Tokyo using a Toyota JPN TAXI to evaluate urban hub-to-hub travel.
• Pittsburgh: Partnering with Carnegie Mellon University using a Hyundai IONIQ 5 for robotaxi tests between Pittsburgh International Airport and the university.
• Munich: Working with the Technical University of Munich using a Volkswagen T7 Multivan for safety evaluations in European urban scenarios.

While safety drivers remain on board to comply with local regulations, no manual intervention is expected during normal operation.

Shinpei Kato, Founder and CEO, TIER IV, said, “To achieve Level 4+ autonomy, we need technology that evolves autonomously alongside the environments it serves. Our new data-centric AI models and collaborative MLOps platform provide a common language and a shared foundation for the entire industry. By working with research institutions, industry leaders and the development community to advance autonomous driving technology through Autoware, we are creating an open, transparent environment that fosters continuous, collective innovation for the benefit of society.”

Yang Zhang, Chairman, Autoware Foundation’s Board of Directors, said, “Autoware serves as the global foundation where researchers, corporations and developers collaborate to advance autonomous driving software. Our collaboration with TIER IV strengthens the international framework for validating and refining E2E autonomous driving through real-world deployment. By testing across three continents, we are driving standards-based innovation and expanding an open ecosystem that lowers the barrier for a diverse range of partners to join and contribute.”

Yutaka Matsuo, Professor at the University of Tokyo, added, “The release of these software stacks and MLOps platform is a vital step toward deploying advanced AI models in industrial applications. By accumulating data from Japan’s distinctive traffic environments through our Tokyo testing and contributing those insights back to Autoware, we aim to further bridge the gap between academic research and real-world deployment.”

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Tier 1 automotive supplier Marelli has received the ‘Commendable’ honour in the ‘Engineering Product of the Year’ category at the Digital Engineering Awards 2026. The ceremony, hosted by L&T Technology Services in association with ISG and CNBC-TV18, was held in Boston, USA, on 12 March 2026.

The award recognises the role of Marelli’s Zone Control Unit (ZCU) in the transition towards software-defined vehicles.

The ZCU is designed to replace traditional domain-based architectures with a platform that delivers cross-domain control through a single Electronic Control Unit (ECU). This system simplifies vehicle electrical and electronic (E/E) layouts and enables communication across vehicle zones. By reducing the number of dedicated ECUs and streamlining wiring, the ZCU reduces wiring harness weight by 30 per cent compared to existing systems.

It is built on the EliteZone platform and supports ethernet capabilities, hardware accelerators, and remote-control protocols. It features processing performance up to 6 KDMIPS, two-port Gigabit Ethernet, and more than 20 CAN and LIN interfaces. The unit also includes an integrated hypervisor and data routing engine, supporting functional safety up to ASIL D standards.

For power management, the ZCU accommodates 48V system requirements with dedicated power input and efuse-protected output. The hardware uses a service-oriented architecture (SOA), which decouples software development from hardware. This approach allows modules to subscribe to services exposed by the ECU, supporting feature updates throughout the vehicle lifecycle and shortening development cycles for manufacturers.

Ravi Tallapragada, President, Marelli’s Electronics business, stated, “This recognition for our Zone Control Unit makes me and all of us at Marelli truly proud. It reflects the impact of our work on supporting the industry’s transition toward software-defined vehicles. By bringing cross-domain control into a single, scalable platform, our ZCU enables vehicle makers to innovate at speed. I want to congratulate our global engineering teams, whose dedication and expertise made this achievement possible.”

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