Using SITL with Morse¶
Morse is an open robotics platform that uses python APIs and the blender 3D environment to create a complete robotics platform.
ArduPilot has a Morse SITL simulation backend that allows ArduPilot to control vehicles created within Morse.
Morse has only been tested to on Linux/Ubuntu environments
Official instuctions can be found on openrobots.com but for recent Ubuntu Linux installs all you need is
sudo apt install morse-simulator
The Morse simulator has the concept of builder scripts, which are python scripts setup to run within the Morse/Blender environment.
Some example builder scripts for use with ArduPilot are provided in the ArduPilot/libraries/SITL/examples/Morse directory.
The examples include:
- a simple rover
- a simple quadcopter
- a rover with a scanning laser rangefinder
These scripts setup the standard sensor suite that ArduPilot needs and exports them using the socket API. It is recommended that you read through both the rover.py and quadcopter.py examples to better understand how to interface Morse with ArduPilot.
Running the Examples¶
The following steps will get you running with the Rover example.
- Ensure the ArduPilot source code is installed on your machine
- Open a terminal and start the rover simulator from within your /ardupilot directory:
morse run libraries/SITL/examples/Morse/rover.py
- Open another terminal to /ardupilot directory and start ArduPilot SITL, using the morse-rover simulation backend
Tools/autotest/sim_vehicle.py -v APMrover2 --model morse-rover --add-param-file=libraries/SITL/examples/Morse/rover.parm --console --map
A window like below should appear:
Use the ArduPilot SITL console to control the vehicle (i.e. “arm throttle” to arm the vehicle, “rc 3 1800” to raise throttle to 80%, etc)
To run the Quadcopter example:
- Open a terminal and start the quadcopter simulator from within your /ardupilot directory:
morse run libraries/SITL/examples/Morse/quadcopter.py
- Start ArduPilot SITL, using the morse-quad simulation backend
Tools/autotest/sim_vehicle.py -v ArduCopter --model morse-quad --add-param-file=libraries/SITL/examples/Morse/quadcopter.parm --console --map
Note that in the image above a wire-frame view is shown instead of a rendered 3D view. That is configured by setting fastmode=True in the Environment() declaration in quadcopter.py. Using fast mode will lower CPU usage a lot which is good for slow machines.
Laser Scanner Support¶
The Morse SITL backend supports a laser scanner sensor. This allows you to use the proximity avoidance systems in ArduPilot with vehicles created in Morse.
There is an example of a Rover setup with a laser scanner in the rover_scanner.py script. Run it like this:
morse run libraries/SITL/examples/Morse/rover_scanner.py
Then start ArduPilot SITL, using the morse-rover simulation backend
sim_vehicle.py -v APMrover2 --model morse-rover --add-param-file=libraries/SITL/examples/Morse/rover_scanner.parm --console --map
That will give you something like this:
The red area shows the extent that the laser scanner proximity sensor is seeing.
To start a three rover swarm open two terminals and cd to your /ardupilot directory:
- Run the following command to start Morse with three rovers side-by-side
morse run libraries/SITL/examples/Morse/rover_follow.py
- Start the ArduPilot SITL environment with three rovers:
To connect with Mission Planner
- On the Windows machine open a terminal (on the windows machine) and type
ipconfigto determine the machines IP address
- On the Ubuntu machine
- open your favourite editor and edit
- modify line 7 of the script to set your windows machines IP address
- open your favourite editor and edit
GCS_IP=192.168.2.48 <-- replace with your windows machine\'s IP address