Infineon and Nvidia expand collaboration to accelerate humanoid robots using digital twins

Infineon Technologies has introduced the enlargement of its collaboration with Nvidia to advance system architectures for bodily AI, with a give attention to humanoid robots.

Constructing on the collaboration introduced in August 2025, the businesses intend to mix Infineon’s strengths in motor management, microcontrollers, energy methods and safety with Nvidia’s AI, robotics and simulation platforms to assist the ecosystem design and deploy humanoid robots.

Infineon may also be part of Nvidia Halos AI Techniques Inspection Lab to look at the design of sturdy {hardware} and software program security foundations, making certain that robots can function safely and securely in real-world environments.

Humanoid robots are advanced methods that should understand their environment, make selections in actual time and act safely – typically in workplaces designed for people. To allow this, they depend on a series of semiconductor-based capabilities: sensing, processing, actuation, connectivity and power administration.

Infineon is bringing its semiconductor options to Nvidia’s simulation and robotics platforms to speed up this chain of sensing, pondering, and performing safely and securely in order that humanoid robots can transfer extra shortly from lab pilots into deployment at scale.

A key aspect of the collaboration is using digital twins of Infineon’s sensible actuators and chosen sensors. These digital fashions are deployed in Nvidia Isaac Sim and Nvidia Isaac Lab, open robotic studying and simulation frameworks, so builders can take a look at and finetune robotic movement management and notion in practical simulation earlier than {hardware} is constructed or built-in.

By figuring out and resolving points earlier within the improvement cycle, prospects can shorten time‑to‑market and scale back integration danger for humanoids utilized in functions reminiscent of logistics, manufacturing and repair robotics.

“The fast enlargement of the robotics market will drive development within the semiconductor market, as clever robots depend on microelectronics to sense, suppose, and act – safely and securely,” mentioned Adam White, division president energy and sensor methods at Infineon.

“By combining Infineon’s energy, motor management, microcontrollers and safety applied sciences with Nvidia’s robotics and digital-twin platforms and Halos AI Techniques Inspection Lab, we’re serving to builders validate designs quicker, transfer humanoids from lab pilots into real-world operations, and scale from prototype to fleet deployment in industrial environments.”

“The subsequent era of humanoid robots calls for bodily AI that may safely navigate advanced, actual‑world environments whereas assembly the best requirements of practical security and safety,” mentioned Deepu Talla, vp of robotics and edge AI at Nvidia.

“By integrating Nvidia Jetson Thor and superior simulation applied sciences into its sensing and actuation options, Infineon is giving builders a strong platform to speed up the rollout of secure, subsequent‑era autonomous machines.”

Infineon empowers humanoid robots – to sense, transfer, act and join – secure and safe

Constructing on their current collaboration, Infineon and Nvidia will work on a typical system structure for humanoid robots that delivers extremely‑low latency, compact type components and high-power density.

Infineon will present motor‑management options powered by Nvidia Holoscan Sensor Bridge that interface with Nvidia Jetson Thor developer platform, utilizing Infineon Aurix microcontrollers and PSOC units and supporting publish‑quantum cryptography (PQC) for firmware and system safety.

Safety is a key a part of the collaboration. Nvidia Jetson Thor pairs a compact compute module with a service board that gives energy and interfaces to sensors, networking, and actuators.

Infineon will present {hardware} TPM (Trusted Platform Module) chips and different safety parts as reference designs to guard AI fashions and knowledge and safe the system from Nvidia Jetson module all the way in which to the cloud.

The collaboration may also give attention to Halos security framework, enabling the design of certifiable methods for Degree 4 autonomous autos and robotics. Infineon will present {hardware} and software program security foundations, integrating {hardware} platforms and working methods to make sure rigorous security and systematic cybersecurity by design throughout the complete stack.

This helps corporations designing Jetson service boards construct in stronger safety, together with safe boot, encrypted communications, and secure over-the-air updates.

Working with ecosystem companions reminiscent of Nvidia and humanoid OEMs, Infineon is a trusted accomplice to the robotics trade, providing a broad portfolio spanning all key practical blocks of a humanoid robotic – from sensors and microcontrollers to actuators, connectivity together with Ethernet‑primarily based networking, reminiscence options and battery‑administration methods.

Constructing on its full vary of silicon (Si), silicon carbide (SiC), and gallium nitride (GaN) applied sciences, Infineon estimates round $500 in semiconductor content material per humanoid robotic, primarily based on bill-of-material assumptions. With options that assist robots sense, transfer, act, and join safely and securely, Infineon helps quicker deployment because the market accelerates.