India, July 26 -- Many robotics teams eventually confront the same question: the silicon looks promising, the benchmark numbers are compelling, and the demo runs cleanly. So, why does it still take 18 months to get a deployable robot out the door? The answer is rarely the processor. It is everything that surrounds it.

The real question for autonomous robotics developers today is not which compute module offers the highest peak throughput. It is 'how do we get from a pile of promising silicon to a working, validated, production-oriented robot faster?'

From MCUs to AI-enabled compute: New autonomy stack

Autonomous robotics architectures are changing. Systems that once ran on distributed microcontrollers, with each managing a narrow slice...