Lattice Semiconductor (NASDAQ: LSCC) announced a collaboration with Texas Instruments to develop sensor integration technology for real-time edge AI systems used in robotics and industrial applications.

The partnership combines Texas Instruments' mmWave radar and camera sensor technologies with Lattice's Holoscan Sensor Bridge solution, which operates on Lattice's low power FPGA technology. The system creates synchronized sensor data pipelines that deliver information directly into GPU-accessible memory for AI processing.

The collaboration demonstrates a sensor fusion architecture that integrates Texas Instruments sensors using NVIDIA Holoscan Sensor Bridge technology running on Lattice FPGAs. The FPGA serves as a companion chip that enables synchronized data flow for robotics and industrial edge AI applications.

"As edge AI systems scale, developers need flexible platforms that simplify sensor integration while delivering predictable real-time performance," said Raemin Wang, vice president of segment marketing at Lattice Semiconductor.

Giovanni Campanella, general manager of industrial automation and robotics at Texas Instruments, stated that "real-time sensor fusion is essential for enabling safe and reliable physical AI systems."

The technology aims to provide developers with tools for building sensor data pipelines that can scale from development to production deployment. Lattice's Holoscan solutions ecosystem includes partnerships with sensor, compute and software companies to support edge AI system development.

The collaboration targets applications in robotics, industrial automation and physical AI systems that require low latency sensor processing and synchronized data handling.