Programming
A Star Algorithm
Efficient Optimizion of Building Routes
Name
Grasshopper A* Implementation
Author
- Job de Vogel
Year
2019
Educational weight
No ECT
Render hours
999
Software
Grasshopper, IronPython
Additional Information
A* is a well-known path finding algorithm, known for its highly efficient method to find the shortest distance in a graph. After finishing my minor Spatial Computing, in which we were introduced to A*, I challenged myself to experiment with this algorithm using primarily Python and Grasshopper.
Within several weeks of part-time work, I was able to develop a Grasshopper script that could utilize the A* algorithm to find shortest Euclidian paths in a building. One of the main challenges was the fact that Python 3 was not available yet for Grasshopper at that time, so I only had access to Python 2 libraries. This project was my first experience in parallel computing. During this project I really got to know the limits of computational design within Grasshopper, which gave me reason to consider alternative software for these types of projects.
GH RoboDK API
Convert Grasshopper brick data to a RoboDK program
Name
Grasshopper to RoboDK
program API
Author
- Job de Vogel
Year
2019
Educational weight
Extracurricular 3 ECT (84 hours)
Render hours
999
Software
Grasshopper, Python, RoboDK
Additional Information
After finishing the Computational Design course for my Master Building Technology, I was asked to develop an API to create Robot programs through Rhino and Grasshopper, as extracurricular activity.
By using the RoboDK API, Python and Grasshopper, a brick design in Rhino can be converted to CSV. Next this CSV data is interpreted by the RoboDK software and automatically builds a program that can be executed on a real robot arm.
Since I built this project for a course that would be given later in 2022 to other students, one of the main challenges was making this project clear, structured and as readable as possible. The complete project is available on my GitHub page.
Personal Projects
Some of my personal, less serious, programming projects
Name
Choice generator
Author
- Job de Vogel
Year
2021
Educational weight
No ECT
Software
Python 3: Kivy
Additional Information
M.O.E.S.O.E. is an Android app that functions as a helpful decision tree. By giving some answers to simple questions, the app advises you what to do in a certain situation. This project was made after I noticed that friends had some problems making relatively simple choices.
This project was developed using the Kivy package for Python 3. Since I build this project in a very short period of time, the code was build quite unstructured. It was a nice experience in building a static app for Android and I know feel comfortable making a more serious app in the future.
Project Title
Subtitle with interesting information
Name
Name project
Author
- Author1
- Author2
- Author3
- Author4
Year
2099
Educational weight
10 ECT (280 hours)
Render hours
999
Software
Software1, Software2,
Software3, Software4
Additional Information
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