SkyBot - Drones

Introduction	1.13
Quickstart	2.18
Quickstart (Windows)	43.07
Setting up the build environment	3.04
Setting up the simulation software	8.17
Starting the simulation software individually	4.55
Creating simulation environment starter shell script	7.15

Introduction	3:30
Instatalling Instructions	2:20
Quickstart	8:41
Startup options	10:31
Telemetry forwarding	4:40
Creating MAVProxy shell scripts for automated proxy and forwarding services	7:54
Arming and disarming the vehicle	4:18
Mission editing	8:57
Geofencing	10:56
Rally point operations	13:13
Changing the flight mode of the vehicle	7:49
"command_int" command	6:31
System commands	7:05
Log management	3:45
Graphing live data from the vehicle	11:31
Horizon module	19:01
Link management	8:31
"long" command	3:25
Map module	7:40
"position" command	5:26
Polygon fences	12:08
Set servo	10:27
Set relay	14:51
Sensor reporting	3:18
Text-to-speech module	2:34
Time sync	3:43
Terrain data handling	4:07

Introduction	2:04
Installing instructions	1:18
Connecting to the vehicle	6:48
Getting the vehicle states	8:15
Setting the vehicle states	6:25
Creating vehicle state observers	12:25
Getting and setting vehicle parameters	2:20
Taking off and landing the vehicle	5:00
Flying the vehicle to a location	8:15
Dealing with the autonomous missions	13:43
Calibrating the vehicle	3:11

MAVLink messaging protocol basics	11:01
Introduction	6:26
Installing instructions	1:39
Connecting to the vehicle	12:04
Receiving messages from vehicle	12:44
Sending messages to vehicle	12:29
Sending message stream requests to vehicle	17:27
Getting and setting vehicle parameters	18:47
Sending message requests to vehicle	14:35
Arming and disarming the vehicle	43:15
Changing the flight mode of the vehicle	23:59
Taking off and landing the vehicle	20:35
Flying the vehicle to a location	31:43
Change current mission in auto flight mode	17:20
Set servo	14:14
Set relay	17:09
Request and receive auto mode flight plan from vehicle	25:59
Create and send auto mode flight plan to vehicle	34:51
Sending partial mission item list to vehicle	13:01
Clear mission item list on vehicle	6:16
Request and receive fence from vehicle	23:40
Create and send fence to vehicle	42:39
Enable and disable fence	13:81
Request and receive rally points from vehicle	21:31
Create and send rally points to vehicle	12:32
RC Overrides	35:50
Request default message streams	9:33
Home distance	15:44
Set flight speed	12:01
Set yaw	16:55
Pause/resume an autonomous flight	6:37
Reading RC inputs and servo outputs	21:45
Terrain checking	13:13
Getting and setting the home location of the vehicle	18:13
Send message from companion computer to GCS	20:20
Logging data to on-board data flash logs	20:13
Interprocess communication with MAVLink	30:28

Introduction	8:09
Sample script	11:10
Arming and disarming the vehicle	12:55
Reading attitude of the vehicle	10:51
Reading location of the vehicle	13:45
Getting and setting vehicle flight mode	11:04
Take off and land the vehicle	34:42
Flying to a location	12:05
Location object examples	35:42
Multi location mission	1:26:42
Getting and setting vehicle parameters	20:50
Create and use a parameter	14:46
File read and write operations	29:04
Logging system	17:33
Read auxiliary channel switch	16:53
Multi location mission continued	25:35
Reading RC inputs	11:46
Set servo and relay	26:43
Protected function calls	9:24
Get and set home location	15:38
Read battery level	10:06
Get time	27:49
Get firmware version	24:45

Disclaimer

Requirements

Having an average knowledge with unmanned autonomous systems
Entry level or above Python programming language skills
Some basic experiences with the Linux operating syste
Hands-on experience with unmanned vehicles running ArduPilot

Description

Fully autonomous unmanned systems are important technological and engineering wonders of today's world. All autonomous unmanned systems need an autopilot that controls the behaviors and working mechanism of the unmanned platform and controls the platform by semi-autonomous or fully autonomous.

The ArduPilot project provides an advanced, full-featured, and reliable open source autopilot software system. The Ardupilot software system is capable of controlling almost any vehicle system imaginable: conventional and VTOL airplanes, gliders, multi-rotors, helicopters, sailboats, powered boats, submarines, ground vehicles, and even balance robots. The supported vehicle types frequently expand as use cases emerge for new and novel platforms.

This course covers some of the most important aspects of software development for controlling and monitoring Ardupilot autopilot software system-powered unmanned autonomous systems.

In this course, you are going to learn the following:

Ability to setup and run Ardupilot autopilot simulation environment.
Developing Python programming language scripts that communicate with Ardupilot software system using Dronekit library.
Understanding MAVLink messages and creating custom scripts using Python programming language and PyMAVLink library.
Learn how to use the MAVProxy Command Line Ground Control Station and what it does.
Autopilot onboard software development using LUA programming language.
Custom embedded software development with Ardupilot autopilot software system.

In this course, there are also supplementary sample projects, assignments, and resources to gain hands-on experience to work with the Ardupilot autopilot software system.

Who this course is for

Software developers and engineers work on unmanned autonomous systems
Companies those work on unmanned autonomous system (UAS), unmanned aerial vehicle (UAV) and drone industries
Enthusiasts and hobbyists with an idea to expand the capabilities of remote controlled vehicles
Students or teams that compete in competitions related to unmanned autonomous systems (UAS), unmanned aerial vehicles (UAV) and drones
Drone and UAV hobbyists wants to monitor and control ArduPilot powered unmanned vehicles

Instructor

Mustafa Gokce

Electrical And Electronics Engineer

Eskisehir, Eskisehir, Republic of T�rkiye

In 2017, he graduated from Anadolu University Electrical and Electronics Engineering, and in 2020, graduated with an MS degree in Telecommunications at the Department of Electrical and Electronics Engineering in Eskisehir Technical University. He is currently pursuing his Ph.D. in Telecommunications. He is currently working on Unmanned Aerial Vehicles, Swarm Robotics, and the Internet of Things.

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