Infineon has expanded its collaboration with Nvidia to develop system architectures for Physical AI focused on humanoid robots and digital twin deployment.
The extended partnership builds on an agreement announced in August 2025, combining Infineon’s capabilities in motor control, microcontrollers, power systems and security with Nvidia’s platforms for AI, robotics and simulation.
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The companies aim to support both the design and scalable deployment of humanoid robots.
This includes developing reference designs that integrate Infineon’s smart actuators with Nvidia Jetson Thor.
Infineon will join Nvidia’s Halos AI Systems Inspection Lab to help develop certifiable Level 4 autonomous vehicle and robotics systems using the Halos safety framework.
Infineon power & sensor systems division president Adam White said: “By combining Infineon’s power, motor control, microcontrollers and security technologies with Nvidia’s robotics and digital-twin platforms and Halos AI Systems Inspection Lab, we’re helping developers validate designs faster, move humanoids from lab pilots into real-world operations, and scale from prototype to fleet deployment in industrial environments.”
Infineon said it will provide semiconductor solutions across key functional areas in humanoid robots, including sensing, processing, actuation, connectivity and energy management.
The company estimates semiconductor content of around $500 per humanoid robot based on bill-of-material assumptions.
A central component of the effort is the use of digital twins for Infineon’s smart actuators and selected sensors.
These will be deployed within Nvidia Isaac Sim and Nvidia Isaac Lab, enabling developers to test and refine motion control and perception systems in simulated environments prior to hardware integration.
The companies said this approach is intended to reduce integration risks and shorten time-to-market for applications such as logistics, manufacturing and service robotics.
The collaboration also centres on a shared system architecture designed to deliver low latency, compact form factors and high-power density.
Infineon will supply motor control solutions powered by the Nvidia Holoscan Sensor Bridge, interfacing with Nvidia Jetson Thor and using Infineon AURIX microcontrollers and PSOC devices.
The system design will also include support for post-quantum cryptography to secure firmware and system operations.
Nvidia robotics and edge AI vice president Deepu Talla added: “The next generation of humanoid robots demands physical AI that can safely navigate complex, realworld environments while meeting the highest standards of functional safety and security.”
