Infineon accelerates deployment of robots using digital twins in collaboration with NVIDIA

Infineon Technologies announced the expansion of its collaboration with NVIDIA to advance system architectures for Physical AI, with a focus on humanoid robots. Building on the collaboration announced in August 2025, the companies intend to combine Infineon’s strengths in motor control, microcontrollers, power systems and security with NVIDIA’s AI, robotics and simulation platforms to help the ecosystem design and deploy humanoid robots.

Humanoid robots are complex systems that must perceive their surroundings, make decisions in real time and act safely – often in workplaces designed for humans. To enable this, they rely on a chain of semiconductor-based functions: sensing, processing, actuation, connectivity and energy management. Infineon is bringing its semiconductor solutions to NVIDIA’s simulation and robotics platforms to accelerate this chain of sensing, thinking, and acting safely and securely so that humanoid robots can move more quickly from lab pilots into deployment at scale.

A key element of the collaboration is the use of digital twins of Infineon’s smart actuators and selected sensors. These virtual models are deployed in NVIDIA Isaac Sim and NVIDIA Isaac Lab, open robotic learning and simulation frameworks, so developers can test and finetune robot motion control and perception in realistic simulation before hardware is built or integrated. By identifying and resolving issues earlier in the development cycle, customers can shorten time‑to‑market and reduce integration risk for humanoids used in applications such as logistics, manufacturing and service robotics.

“The rapid expansion of the robotics market will drive growth in the semiconductor market, as intelligent robots rely on microelectronics to sense, think, and act – safely and securely,” said Adam White, Division President Power & Sensor Systems at Infineon. “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.”

“The next generation of humanoid robots demands physical AI that can safely navigate complex, real‑world environments while meeting the highest standards of functional safety and security,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “By integrating NVIDIA Jetson Thor and advanced simulation technologies into its sensing and actuation solutions, Infineon is giving developers a powerful platform to accelerate the rollout of safe, next‑generation autonomous machines.”

Building on their existing collaboration, Infineon and NVIDIA will work on a common system architecture for humanoid robots that delivers ultra‑low latency, compact form factors and high-power density. Infineon will provide motor‑control solutions powered by NVIDIA Holoscan Sensor Bridge that interface with NVIDIA Jetson Thor developer platform, using Infineon AURIX™ microcontrollers and PSOC™ devices and supporting post‑quantum cryptography (PQC) for firmware and system protection.