Lattice Blog

Interest in edge computing has surged as organizations across industries seek smarter ways to automate processes, enhance productivity, and optimize labor. By processing data closer to its source, edge systems can provide benefits like reduced transmission and storage costs and strengthened security. They can also enable the development of advanced machines and devices, from autonomous mobile robots (AMRs) and humanoids to smart medical devices, which can operate with precision and speed. Thes...

Across industries and use cases, computing capacity is shifting away from centralized servers and towards the edge. Whether in the form of autonomous vehicles, smart sensors, or other technological solutions, today's intelligent applications demand faster decision-making and increased autonomy. This shift is especially prevalent in the Industrial, defense, and aerospace industries. The unmanned aerial vehicles (UAVs) and drones used in defense applications rely heavily on edge intelligence to...

Robots have rapidly evolved from science fiction into a cornerstone of modern industry. Today’s autonomous systems can execute complex tasks with minimal human oversight – transforming how we work, live, and move. But achieving this level of intelligence and reliability in real-world environments requires more than just advanced software. It demands robust hardware, deterministic processing, and scalable system architectures that can support safe, real-time decision-making under dema...

Imagine a robot navigating a crowded factory floor, rerouting itself in real-time around equipment, humans, and unexpected obstacles — all while maintaining motion control and system stability. This isn’t a distant vision; this is the reality engineered by Agiliad in partnership with Lattice Semiconductor. In a market full of autonomous mobile robots (AMRs) that rely on generic control stacks and prebuilt kits, this AMR stands out as a deep-tech system, purpose-built for intelligent...

Lattice FPGAs are ideal for sensor fusion applications because their programmable fabric can be configured to perform sensor processing algorithms in a massively parallel fashion.