Texas Instruments with NVIDIA to speed up safe, real-world deployment of humanoid robots. By blending TI’s real-time motor control, sensing, radar, and power tech with NVIDIA’s cutting-edge robotics compute, ethernet sensing, and simulation tools, developers can validate perception, actuation, and safety much earlier and more reliably.
TI bridges NVIDIA’s physical AI compute to actual applications through deterministic control, sensing, power, and safety at every joint and subsystem—helping teams shift quickly from virtual prototypes to production-ready, scalable, safety-certified systems.
Under this partnership, Texas Instruments with NVIDIA will integrate TI’s sensor fusion solution that pairs its mmWave radar with NVIDIA Jetson Thor via the NVIDIA Holoscan Sensor Bridge. It delivers low-latency, 3D perception and safety awareness for humanoid robots. TI will demo it at NVIDIA GTC, March 16–19 in San Jose.
Enabling Safer Humanoid Robots with Real-Time Sensor Fusion
TI’s IWR6243 mmWave radar sensor connected via ethernet to NVIDIA Jetson Thor powers scalable, low-latency 3D perception and safety smarts for physical AI.
Fusing camera and radar data boosts object detection, localization, and tracking while cutting false positives for confident, real-time decisions in humanoid robots.
This gives robots human-like perception that holds up in tough conditions, from dim light and glare to fog and dust, indoors or out.
It fills a major safety gap holding back deployment cameras often miss glass doors or shiny surfaces, but radar catches them reliably for smooth navigation in offices, hospitals, or stores, asserted its official release.
TI at NVIDIA GTC
Stop by TI’s booth 169 at the San Jose McEnery Convention Center. TI and D3 Embedded will run a live demo called “Real-time sensor fusion for reliable robotic perception with Holoscan,” showing how TI mmWave radar works with NVIDIA Jetson Thor and Holoscan complete with D3’s end-to-end software processing and visualization.
Leadership Comments
“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.”
On Wednesday, March 18 from 3:00-3:40 p.m. PT, TI’s 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.
