Innovations

On the Edge

Adaptive Control

ResCon's patent-pending reservoir computing algorithms allow for implementation of robust AI/ML processes on small, low-power devices such as sUAS flight controllers.

Adaptive Control

ResCon's autopilot approach delivers real-time adjustment based on advanced state estimation and machine learning, enabling maneuver precision and complexity well beyond legacy PID controllers.

Key Benefits

An expensive drone flying over a population center

THE POWER OF LAYERS

Reservoir computers can be implemented in layers on edge computing devices, with a legacy controller at the lowest level if desired. This simulation shows a PID-controlled system sustaining damage and becoming unstable. A reservoir computer rapidly learns the deviation and takes control of the system, after which a second reservoir computer trains and takes control of the first. Note how little training time is required.

Video credit: Dr. Daniel Canaday

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Disclaimer

Images of aircraft are for illustration purposes only and are not meant to imply a business relationship with any hardware manufacturer.