
Texas Instruments (TI) has partnered with NVIDIA to accelerate the deployment of the next generation of physical AI in humanoid robots. This collaboration merges TI’s real-time control, sensing, and power products with NVIDIA’s technology to enhance the development of safer humanoid robots. By integrating TI’s advanced motor control, sensing, radar, and power technologies with NVIDIA’s sophisticated robotics computing and simulation capabilities, developers can validate perception, driving, and safety functions more accurately and sooner.
Key Highlights:
- TI and NVIDIA are working together to expedite the transition of humanoid robots from simulation to safe real-world deployment.
- As part of this collaboration, TI is integrating its millimeter-wave radar technology with NVIDIA’s Jetson Thor and Holoscan platforms, facilitating low-latency 3D perception and safety capabilities for physical AI applications.
- TI will showcase its semiconductor technology for humanoid robots at the NVIDIA GTC conference in 2026.
On March 10, 2026, in Shanghai, China, TI (NASDAQ: TXN) announced its collaboration with NVIDIA to enhance the safety of humanoid robots in real-world applications. This partnership allows developers to leverage TI’s technologies to ensure seamless integration of sensing, control, power, and safety systems. By providing deterministic control and safety technology for various robotic joints and subsystems, TI connects NVIDIA’s physical AI computing power with real-world applications, enabling developers to move faster from virtual development to scalable, safety-compliant systems ready for mass production.
Utilizing the NVIDIA Holoscan Sensor Bridge, TI has integrated its millimeter-wave radar technology with the NVIDIA Jetson Thor platform, creating a sensor fusion solution that delivers low-latency 3D perception and safety capabilities for humanoid robots. This solution will be presented at the NVIDIA GTC conference in San Jose, California, from March 16 to 19, 2026.
According to Giovanni Campanella, TI’s General Manager for Factory Automation, Motor Drives, and Robotics, “The next generation of physical AI requires not only advanced computing power but also seamless integration between sensing, control, power, and safety systems. TI’s comprehensive product line bridges the gap between NVIDIA’s powerful AI capabilities and real-world applications, allowing developers to validate complete humanoid robot systems early in the development process. This integrated approach will accelerate the transition of humanoid robots from prototype designs to commercially viable products that can safely collaborate with humans.”
Deepu Talla, NVIDIA’s Vice President of Robotics and Edge AI, stated, “To enable humanoid robots to operate safely in unpredictable environments, there needs to be a significant leap in processing capabilities to synchronize complex AI models with real-time sensor data and motor control. Combining TI’s sensing and power management technologies with the NVIDIA Jetson Thor platform provides developers with a functional safety foundation, thereby accelerating the deployment of the next generation of physical AI.”
TI’s millimeter-wave radar sensor, the IWR6243, connects via Ethernet to the NVIDIA Jetson Thor, providing scalable low-latency 3D perception and safety capabilities for physical AI applications. This solution enhances target detection, positioning, and tracking by fusing camera and radar data while minimizing false positives, enabling humanoid robots to make reliable, real-time decisions.
This technology offers humanoid perception capabilities that operate stably in various challenging environments, including low-light and bright glare conditions, fog, and dust, addressing critical safety issues that have hindered the practical deployment of humanoid robots. For instance, while cameras may struggle to reliably identify transparent barriers such as glass doors or reflective surfaces, radar technology can consistently detect these obstacles, ensuring smooth navigation for humanoid robots in settings like office buildings, hospitals, and retail spaces.
TI will exhibit its relevant technologies at booth 169 during the NVIDIA GTC conference at the McEnery Convention Center in San Jose. In collaboration with D3 Embedded, TI will demonstrate “Real-Time Sensor Fusion for Reliable Robotic Perception Based on Holoscan,” showcasing how TI’s millimeter-wave radar technology integrates with the NVIDIA Jetson Thor and Holoscan ecosystems through D3 Embedded’s end-to-end software processing and visualization solutions.
Notably, Giovanni Campanella will also present on the topic “The Advantages of Edge AI: Redefining GPU-Powered AI Sensor Processing Technologies,” discussing how the tight integration of sensing, networking, and GPUs can drive real-time physical AI at the edge of industrial systems.
About Texas Instruments
Texas Instruments (TI) (NASDAQ: TXN) is a global semiconductor company that designs, manufactures, and sells analog and embedded processing chips for various markets, including industrial, automotive, data centers, personal electronics, and communication devices. We are committed to making electronics more affordable and impactful through semiconductor technology. Each generation of innovation builds on the previous one, making our technology more reliable, cost-effective, and energy-efficient, leading to widespread applications of semiconductors in electronic products.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/texas-instruments-and-nvidia-collaborate-to-accelerate-the-deployment-of-next-generation-physical-ai-in-robotics/
