Infineon NVIDIA Accelerate Humanoid Robots with Digital Twins

Infineon and NVIDIA have announced a deepening collaboration focused on humanoid robots, merging semiconductor platforms with AI and simulation technologies. The goal is to facilitate faster and potentially safer deployment of robots through the use of digital twins and integrated system architectures.

For readers of eeNews Europe, this partnership underscores how semiconductor suppliers are strategically positioning themselves within the robotics ecosystem, covering everything from sensing and actuation to AI compute and security. It also reflects a broader industry trend towards simulation-driven design workflows in complex embedded systems.

Digital twins revolutionize robotics deployment

At the core of this collaboration is the utilization of digital twins for Infineon’s smart actuators and selected sensors. These models are seamlessly integrated into NVIDIA Isaac Sim and Isaac Lab, enabling developers to test motion control and perception in simulated environments before physical hardware is even constructed.

This approach has the potential to pinpoint integration and performance issues earlier in the development process, ultimately reducing risks and accelerating time-to-market for humanoid robots. The companies are specifically targeting applications in logistics, manufacturing, and service robotics, where reliability and system validation are crucial for large-scale deployment.

“The rapid growth of the robotics market will fuel expansion in the semiconductor sector, as intelligent robots heavily rely on microelectronics for sensing, processing, and acting – all while ensuring safety and security,” stated Adam White, Division President Power & Sensor Systems at Infineon. “By combining Infineon’s expertise in power, motor control, microcontrollers, and security technologies with NVIDIA’s robotics and digital-twin platforms and Halos AI Systems Inspection Lab, we are empowering developers to validate designs more efficiently, transition humanoid robots from lab prototypes to real-world operations, and scale from initial models to fleet deployment in industrial settings.”

Emphasis on safety, security, and integration

Furthermore, the collaboration places a strong focus on safety and cybersecurity, critical aspects as robots venture into real-world scenarios. Infineon will provide hardware security components, such as TPM chips, in addition to microcontrollers and power elements, to support secure boot processes, encrypted communication, and over-the-air updates.

NVIDIA’s Jetson Thor platform and Halos AI Systems Inspection Lab are integral parts of the reference architecture, aiming to enable certifiable systems that meet the stringent requirements of advanced robotics and autonomous systems. The incorporation of post-quantum cryptography support signals a forward-thinking approach to system protection.

“The next wave of humanoid robots requires AI capabilities that can navigate complex real-world environments safely, while adhering to the highest standards of functional safety and security,” remarked Deepu Talla, vice president of robotics and edge AI at NVIDIA. “By integrating NVIDIA Jetson Thor and cutting-edge simulation technologies into its sensing and actuation solutions, Infineon is providing developers with a robust platform to expedite the deployment of secure, next-generation autonomous machines.”