The future unmanned battlespace will contain heterogeneous swarms of autonomous air and ground platforms. A significant hurdle in enabling a heterogeneous swarm is the ability to move the algorithms developed in simulation environments onto real-world unmanned vehicles (UxV's). The Applied Physics Lab has developed the Robotic Algorithm and Communications Environment (RACE), a platform independent behavior-based algorithm framework that supports air and ground vehicle hardware interfaces to enable swarms of unmanned vehicles to operate cooperatively. This briefing describes the command and control (C2) aspects of the RACE architecture and the results from recent hardware in the loop demonstrations. APL experiments have shown how swarms of autonomous vehicles can support complex C2 environments by cooperatively de- conflicting multiple user goals.
Command and Control Autonomous UxV's
2005
18 pages
Report
No indication
English
Combat Vehicles , Computers, Control & Information Theory , Optical Detection , Common Carrier & Satellite , Robotics , Command and control systems , Algorithms , Unmanned , Artificial intelligence , Organization theory , Situational awareness , Hardware in the loop , Decentralization , Drones , Ground vehicles , Computer logic , Symposia , Briefing charts , Swarming algorithms , Stigmergy , Heterarchical organization