Texas Instruments with Nvidia accelerates the next generation of physical AI

Texas Instruments is accelerating the safe deployment of humanoid robots into the real world with NVIDIA. By combining TI’s real-time motor control, sensing, radar and power technologies with NVIDIA’s advanced robotics compute, ethernet based sensing and simulation technologies, robotics developers can validate perception, actuation and safety earlier and more accurately. TI connects NVIDIA physical AI compute to real-world applications with deterministic control, sensing, power, and safety at every joint and subsystem. This partnership will help developers move faster from virtual development to production-ready, scalable and safety-compliant systems.

As part of this collaboration, TI designed a sensor fusion solution by integrating its mmWave radar technology with NVIDIA Jetson Thor using NVIDIA Holoscan Sensor Bridge to enable low-latency, 3D perception and safety awareness for humanoid robots.

"The next generation of physical AI requires more than just advanced compute – it demands seamless integration between sensing, control, power and safety systems," said Giovanni Campanella, general manager of industrial automation and robotics at TI. "TI's comprehensive portfolio bridges the gap between NVIDIA's powerful AI compute and real-world applications, enabling developers to validate complete humanoid systems earlier in development. This integrated approach will help accelerate the evolution from prototypes to commercially viable humanoid robots operating safely alongside humans."

"The safe operation of humanoid robots in unpredictable environments requires a massive leap in processing power to synchronize complex AI models with real-time sensor data and motor controls," said Deepu Talla, vice president of robotics and edge AI at NVIDIA. "The integration of Texas Instruments' sensing and power management technologies with the NVIDIA Jetson Thor platform provides developers with a functional safety-capable foundation to accelerate the deployment of next-generation physical AI."