Concept:

Centralized Artificial intelligence for the state and fault monitoring of autonomous systems with redundant control reversion capable of taking control of system remotely

Use cases:

•Remote control from anywhere of uav operating in an environment that defeats autonomous operations •Manual control in key portions of flight: landing in urban environment, heavy weather, etc.

Work to date:

•Remote streaming of FPV video across the Internet

•Remote ground control telemetry across the Internet •Ground control system testing using Mission Planner and QControl

To do:

•Develop Deep Reinforcement Learning system and training for remote autonomous control via Mavlink of Multi-Rotor, Fixed-Wing, and Land-Base vehicles

•Develop reinforced learning system to act as intermediary remote pilot. •Control algorithm development in a GPS denied environment •Security network, KYC, encryption, etc (Microsoft sphere?)