Texas Instruments has announced a strategic collaboration with NVIDIA aimed at accelerating the safe deployment of humanoid robots in real-world environments. By combining Texas Instruments’ real-time motor control, sensing, radar, and power technologies with NVIDIA’s advanced robotics computing, Ethernet-based sensing, and simulation capabilities, the partnership enables robotics developers to validate perception, actuation, and safety systems earlier and with greater accuracy. As a result, developers can move more efficiently from virtual design to production-ready humanoid systems that meet safety and scalability requirements.
Through this collaboration, Texas Instruments connects NVIDIA’s physical AI computing capabilities to real-world robotics applications. In particular, TI integrates deterministic control, sensing, power management, and safety technologies across every robotic joint and subsystem. Consequently, developers can build more reliable humanoid systems that operate efficiently in complex and unpredictable environments. Furthermore, the joint effort aims to streamline the transition from simulation-based development to commercial-scale deployment, ultimately helping robotics companies bring their innovations to market faster.
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As part of the partnership, Texas Instruments has developed a new sensor fusion solution that integrates its mmWave radar technology with NVIDIA Jetson Thor through the NVIDIA Holoscan Sensor Bridge. This integration enables low-latency, three-dimensional perception and enhanced 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.”
Similarly, NVIDIA emphasized the importance of processing power and real-time coordination for robotic safety and performance. “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.”
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Advancing Robot Safety with Real-Time Sensor Fusion
A key element of the collaboration is TI’s IWR6243 mmWave radar sensor, which connects via Ethernet to NVIDIA Jetson Thor to deliver scalable, low-latency 3D perception and enhanced situational awareness for physical AI applications. By combining radar and camera data, the system significantly improves object detection, localization, and tracking accuracy. At the same time, it helps reduce false positives, enabling humanoid robots to make confident and reliable decisions in real time.
Moreover, the sensor fusion approach allows robots to achieve human-like perception even in challenging environmental conditions. For instance, the system can operate effectively in low light, bright glare, fog, and dusty environments, both indoors and outdoors. Importantly, it also addresses a long-standing safety challenge that has limited large-scale deployment of humanoid robots. While cameras alone may struggle to detect transparent surfaces such as glass doors or reflective obstacles, radar technology ensures consistent detection. As a result, robots can navigate safely in complex spaces like office buildings, hospitals, and retail environments.
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