Summary
The Highly Accelerated Learning of Vibratory Systems (HALOVS) portfolio is a fundamental science portfolio to develop, model, prototype, and demonstrate technologies to overcome the existing performance limitations of vibratory sensors (e.g., inertial sensors such as accelerometers or gyroscopes in your smartphone) for improved positioning and navigation.
The ultimate goal is to provide precision navigation for warfighters via a handheld device in GPS-denied environments.
The HALOVS programs will investigate and demonstrate new technology platforms that exploit the latest breakthroughs and insights in 3D micromachining, assembly, and fabrication processes using novel materials and chemistries to determine their dynamic performance limits while increasing lifetime.
HALOVS will produce blueprints and a database on how to improve on the four fundamental pillars of vibratory sensors: noise and drift, scale factor, shock and vibration, and aging.
Together, the programs in the HALOVS portfolio will inform DARPA and the Department of Defense of sensor science performance limits and the practical borders of the design space for next-generation positioning and navigation sensors for use in GPS-denied missions.
The HALOVS portfolio comprises four programs:
- CLOAK: Chemistries and monoLayers for Anti-aging Kinematics
- HORCREX: Higher-Order Composite Resonators for Extra resilience
- LeviTAS: Levitated and Trapped Accurate microSystems LeviTAS
- NIMBUS: NIMBle Ultrafast microSystems
Solicitations for the four programs are closed.