Studywolf code blog
This repository serves to hold projects that I'm both working on and have completed and presented on http://www.studywolf.com.
Control repo
Installation
The control directory requires that you have docopt installed:
pip install docopt
Additionally, there are a number of arm models available, if you wish to use anything other than the 2 link arm coded in python, then you will have to compile the arm. You can compile the arms by going in to the Arms/num_link/ folder and running setup:
python setup.py build_ext -i
This will compile the arm for you into a shared object library that's accessible from Python.
NOTE: The arms have only been tested on linux and currently don't compile on Mac.
Running
To run the basic control code, from the base directory:
python run.py ARM CONTROL TASK
Where ARM = (arm1 | arm2 | arm2_python | arm3), the control types available are CONTROL = (dmp | gc | trajectory | osc), and the tasks are those listed in the task directory, examples include TASK = (follow | random | walk | write_numbers | write_words).
If you would like to use the PyGame visualization you must have PyGame installed. To call up the PyGame visualization append --use_pygame=True to the end of your call.