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04 Autonomous drone programming in Python
Please check our online course (slides or videos) to understand:
- how to connect to the flight controller
- what's the general software architecture
- how to use yocto or ubuntu or the linux OS of choice in a container
Here's a simple python script using the basic pymavlink wrapper to arm the motors for 3 seconds.
Arming the motors is the simplest action we can test to show everything is connected.
Note: we're using tcp:127.0.0.1:5760
to connect to the flight controller, as we'll do for all the following examples.
UNPLUG THE PROPELLERS BEFORE RUNNING THIS CODE. WE INSIST.
#!/usr/bin/python
from __future__ import print_function
import pymavlink.mavutil as mavutil
import sys
mav = mavutil.mavlink_connection('tcp:127.0.0.1:5760')
mav.wait_heartbeat()
mav.mav.command_long_send(mav.target_system, mav.target_component,
mavutil.mavlink.MAV_CMD_COMPONENT_ARM_DISARM, 0, 1,
0, 0, 0, 0, 0, 0)
sleep(3)
mav.mav.command_long_send(mav.target_system, mav.target_component,
mavutil.mavlink.MAV_CMD_COMPONENT_ARM_DISARM, 0, 0,
0, 0, 0, 0, 0, 0)
It’s important to know the basics of MAVLINK, as it the base of all communications with the Flight Controllers. But coding frames with python-mavlink is not developer friendly. DroneKit, developed by 3D Robotics, is one of the friendly python abstractions available under Apache v2 Licence : python.dronekit.io To install on Intel Aero:
pip install dronekit
UNPLUG THE PROPELLERS BEFORE RUNNING THIS CODE. WE INSIST.
Here's the code, still arming the motors for 5 seconds:
#!/usr/bin/python
from dronekit import connect, VehicleMode, LocationGlobalRelative
import time
vehicle = connect('tcp:127.0.0.1:5760', wait_ready=True)
print "Arming motors:"
vehicle.mode = VehicleMode("GUIDED")
vehicle.armed = True
while not vehicle.armed:
print " Waiting for arming to be finished"
time.sleep(1)
print "Keeping motors armed for 5s"
time.sleep(5)
print "Disarming"
vehicle.armed = False
There's a multicolor LED on top of the board (if the board is in the enclosure, you can see the light from the white cable hole), and an orange LED under the board. And here is a sample code to test all the colors:
import time
from periphery import GPIO
print "Top LED Blue"
gpio = GPIO(403, "out")
gpio.write(bool(1))
time.sleep(1)
gpio.write(bool(0))
gpio.close()
print "Top LED Green"
gpio = GPIO(397, "out")
gpio.write(bool(1))
time.sleep(1)
gpio.write(bool(0))
gpio.close()
print "Top LED Red"
gpio = GPIO(437, "out")
gpio.write(bool(1))
time.sleep(1)
gpio.write(bool(0))
gpio.close()
print "Bottom LED Orange"
gpio = GPIO(507, "out")
gpio.write(bool(1))
time.sleep(1)
gpio.write(bool(0))
gpio.close()
The Intel Aero Compute Board includes a MCP2515 CAN controller and MCP2562 CAN transceiver. The controller is connected to the Atom processor via the SPI interface on bus 1 (SPI1) chip select 0 (CS0). It can be accessed via spidev as /dev/spidev1.0. Python spidev libraries
All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Latest Software (BIOS & OS image) BSP Released: v1.6.1 on 2017-12-18
Important: This repository is no longer being maintained
- About Intel Aero
- Initial Setup
- First Flight
- Ubuntu* installation
- Video Course - Autonomous Drone Engineer
- Intel Aero Ecosystem