Hillsboro, Oregon, April 20, 2026–(BUSINESS WIRE)–Lattice Semiconductor (NASDAQ: LSCC), a leader in low-power programmables, today announced that it is collaborating with Texas Instruments (TI) to simplify sensor integration and scale real-time edge AI systems. The combination of TI’s sensing technology and the Lattice Holoscan sensor bridge solution, based on Lattice low-power FPGA technology, provides developers with a flexible hardware foundation for synchronized, low-latency sensor data pipelines in advanced robotics and industrial applications.
This collaboration demonstrates a real-time AI sensor fusion architecture that integrates TI mmWave radar and camera sensors using the NVIDIA Holoscan sensor bridge running on Lattice’s low-power FPGAs. The FPGA acts as a companion chip, delivering synchronized sensor data directly to GPU-accessible memory, enabling low latency and robust recognition for robotics and industrial edge AI applications.
said Raemin Wang, vice president of segment marketing for Lattice Semiconductor. “By integrating the NVIDIA Holoscan sensor bridge solution and combining Lattice FPGAs and TI’s radar sensor expertise, we are creating a powerful technology that enables developers to efficiently connect real-world sensors to the NVIDIA platform, enabling real-time AI sensor fusion and accelerating the transition from evaluation to production.”
“Real-time sensor fusion is essential to enabling safe and reliable physical AI systems,” said Giovanni Campanella, general manager of industrial automation and robotics at Texas Instruments. “By combining TI’s mmWave radar technology with Lattice’s Holoscan sensor bridge solution, developers can build a low-latency recognition pipeline that scales from development to real-world deployment.”
The Lattice Holoscan solution ecosystem has grown through collaboration with industry-leading sensor, computing, and software partners, enabling deterministic data movement, low-latency performance, flexible sensor connectivity, and low-power operation. This growing ecosystem provides developers with a strong foundation for building scalable, production-ready edge AI systems for robotics, industrial automation, and emerging physical AI applications.
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