Texas Instruments announced it is accelerating the safe deployment of humanoid robots into the real world with NVIDIA. By combining Texas Instruments' 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. Texas Instruments connects NVIDIA physical AI compute to real-world applications with deterministic control, sensing, power and safety at every joint and subsystem.
As part of this collaboration, Texas Instruments 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. Texas Instruments will showcase the solution at NVIDIA GTC, March 16?19, 2026, in San Jose, California. Texas Instruments' mmWave radar sensor, IWR6243, connected via ethernet to NVIDIA Jetson Thor enables scalable low-latency, 3D perception and safety awareness for physical AI applications.
By fusing camera and radar data, the solution improves object detection, localization, and tracking while reducing false positives for confident, real-time decision-making in humanoid robots. This solution enables human-like perception that works reliably in challenging conditions ? from low light and bright glare to fog and dust indoors and outdoors ?
and addresses a critical safety gap that has limited real-world deployment of humanoid robots. Radar provides consistent detection of transparent obstacles, enabling smooth navigation in places like office buildings, hospitals and retail environments. Texas Instruments will present its technologies at NVIDIA GTC in booth 169 at the San Jose McEnery Convention Center.
Texas Instruments and D3 Embedded's live demonstration, "Real-time sensor fusion for reliable robotic perception with Holoscan," showcases how Texas Instruments' mmWave radar technology integrates with NVIDIA's Jetson Thor and Holoscan ecosystem using an end-to-end software processing chain and visualization from D3 Embedded. On Wednesday, March 18 from 3:00-3:40 p.m. PT, Texas Instruments' Giovanni Campanella, will participate in a lightning talk, "The Edge of the Edge: Redefining GPU-Enabled AI Sensor Processing." Campanella will discuss how tight integration of sensing, networking and GPUs is enabling real-time physical AI at the edge of industrial systems.
