Dispatch
Microsoft Research: offloading robot inference raised VLA accuracy 50% and doubled battery life, now in the open Physical AI Toolchain
Microsoft Research reports that moving inference off-robot improved navigation obstacle detection by 30% and VLA model accuracy by 50% compared with onboard GPUs. Swapping the Stretch-3's onboard GPU for a Raspberry Pi 5 more than doubled battery life, and a Jetson Thor drained batteries up to 160% faster. The Physical AI Toolchain now ships Kubernetes-based offloaded-inference examples for SO-101 and UR10e arms. For robotics builders, a network hop to a big GPU beats a small onboard accelerator in most of these tasks.
↳ Follow the thread