![]() Figure 1, on the left the execution of an elevator controller using the ReachStaticTargetAltitudeTask task. Below are some resulting metrics from executing two of the controllers mentioned above. These tasks were additionally used to test GymFG, and to demonstrate that controllers can maximize a reward function in GymFG. ReachDynamicTargetRollTask) designed to incrementally allow autopilot functionality. ReachStaticTargetRollTask) and a dynamic task (e.g. Each controller is accompanied with several tasks: a static task where the target is fixed (e.g. We provide six main controllers: reaching a target altitude (dynamically or statically determined), one controller for manipulating each control (aileron, elevator, rudder, and throttle) until a desired configuration is reached, and keeping a level flight path. Our intention for doing so is twofold: we hope that users creating IL and RL models might find it useful to have controllers that provide accurate flight controls with which to test their models against, and also to test GymFG. With GymFG, we can now deploy innovative ideas to addressĬomplex problems and build the trust necessary to move prototypes to theĪlong with the environment, we developed a small library of primitive physics-based controllers designed to solve small tasks regarding basic flight. ![]() We have demonstrated the use of GymFG to train an autonomous aerial agent using Learning framework to facilitate learning of more complex tasks. As a result, we have developed GymFG: GymFG couplesĪnd extends a high fidelity, open-source flight simulator and a robust agent Prohibitive costs for live tests, we need to prototype and evaluate autonomousĪerial agents in a high fidelity flight simulator with autonomous learningĬapabilities applicable to flight systems: such a open-source development To address trust, we must revisit the process forĭeveloping autonomous capabilities: modeling and simulation. ![]() Gained the trust of the community where higher problem complexity and cognitive Landing, navigation, and terrain/traffic avoidance. Pilots only enable simple physics-based systems such as autopilot for takeoff, This is reflected in today's production air-crafts, where Over the past decades, progress in deployable autonomous flight systems has ![]()
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