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