TheMachine Press

A daily newspaper for the age of artificial intelligence.

Morning editionPermanent story

robotics

A Six-Gram Board Put Constrained Control at One Kilohertz

AccelMPC ran onboard a 35-gram drone, cutting solve time up to 15.6-fold and energy-delay product 195.4-fold.

Published Updated Story ID: mp-2026-09-10-009
Read the complete editionStory JSON

Summary

AccelMPC ran onboard a 35-gram drone, cutting solve time up to 15.6-fold and energy-delay product 195.4-fold.

AccelMPC co-designs an alternating-direction solver, numerical representation, FPGA mapping and a custom six-gram circuit board for a 35-gram Crazyflie drone. Hardware experiments ran constrained model-predictive control at one kilohertz with dynamic obstacles and optimization problems exceeding 20,000 variables. Against embedded microcontroller solvers, the authors report up to 15.6 times faster solves and a 195.4-fold improvement in energy-delay product. The open design files support replication, but the measurements describe the team’s hardware and test conditions rather than every tiny-aircraft platform.

Why it matters

AccelMPC ran onboard a 35-gram drone, cutting solve time up to 15.6-fold and energy-delay product 195.4-fold.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. AccelMPC ran onboard a 35-gram drone, cutting solve time up to 15.6-fold and energy-delay product 195.4-fold.

    Evidence: source-2026-09-10-009

Sources

  1. arXiv preprint 2609.09380arXiv · primary research

Corrections

No corrections have been recorded for this story.