Random Positioning Machine path generation and analysis

random_walk.py contains the class used to generate sudo random points on a constrained 2D surface. utilites.py contains two helper functions; interpolate_points and rpmcartesian. interpolate_points is used to break the path up into evenly spaced points. rpm2cartesian converts the machine X&Y, which are named Theta & Phi in the code, to cartesian x,y,z coordinates.

The Jupyter/ipynb setup_analysis.ipynb demonstrates how to generate code and also how to run statistics on the path. It also demonstrates how to generate a path and save it as Gcode.

Packages requrired to generate a random walk path

• numpy
• pandas
• random Additional packages used in the notebook for analysis and plotting
• xarray
• matplotlib