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.
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
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
- arXiv preprint 2609.09380arXiv · primary research
Corrections
No corrections have been recorded for this story.