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The Telemetry Manager is the part of the Autopilot firmware responsible for all of the data communication between ZeroPilot, the onboard Jetson, and a custom program running on the ground station. The figure below shows the layout of our Telemetry Manager architecture:// Insert some image here

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The Telemetry Manager starts its work cycle by obtaining telemetry data from the ground and onboard Jetson, if . If data is invalid, the manager immediately reports this error to the ground station; otherwise, data gets sent to Path Manager as expected. After data is processed by Path Manager, the feedback is processed by Telemetry Manager. If there’s any unusual activity detected, which may indicate that Zeropilot ZeroPilot is unresponsive, an error report would be sent to the ground station. If everything works smoothly, feedback data would get sent to the ground periodically and relevant data will be sent to the onboard Jetson.

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Apart from waypoint following, there are two special cases that the waypoint manager also considers: when the drone needs to hover at a specific location and when the drone needs to head back to a predefined home base - in the competition’s case, the launch site.

New Attitude Manager

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The Attitude Manager is designed to maintain attitude and stability of the quadcopterQuadcopter, residing on a separate chip and taking commands from operator inputs or from PM Waypoints. This module functions as an asynchronous (PLEASE CONFIRM) State state machine with 7 (PLEASE CONFIRM) 5 distinct states.// insert diagram here.

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Motion Controls Module

This controls module resides within Attitude Manager, and is responsible for keeping the drone in the air in all states of motion. At it’s simplest, the kinematic controls module ensures that our quadcopter always moves from our current position to a target position within a specified distance. It does this by using a variety of PID controllers on a quadcopter modelled in the la place Laplace domain.

In teleoperated scenarios, our controls algorithms use the remote inputs as target set-distances, before generating trajectories (either as splines, curves, or straight lines) that our controllers will aim to follow. This means that the operator is able to focus on flying to the right locations, instead of having to maintain attitude of the quadcopter. In fully automated flight, our controls algorithms work together with Path manager to define fine splines and curves to follow, allowing more complex flight dynamics using more advanced controllers.

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On the ground, things are different. When undergoing autonomous flight, the ground station can send and receive commands from ZeroPilot via a telemetry link. On the other hand, when flying the drone manually, the pilot can view the drone’s surroundings by viewing a video stream sent down from one of the drone’s cameras. Using a remote that can control ____??___, the pilot can navigate the drone safely.

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