I create

Autonomous robots that paint AI generated art
2019

Bachelor Thesis

Art(ificial)

Developing an Pixel-to-CNC algorithm & implementation for painting AI generated art with an industrial robot.

Summary

Artificial

An autonomous installation consisting of an industrial robot painting AI generated art on canvas.


Abstract

This bachelor thesis consists of a mostly autonomous industrial robot, painting AI-generated art. Various pre-trained GAN models were used to generate the ground truth artworks which were then converted into cartesian coordinates with a novel algorithm. The 1000 lb system is capable of painting with acrylic color on surfaces such as canvas, paper, or stone. It attempts to emulate a defining aspect of human intelligence: artistic creativity. The machine painted various artworks for ten hours during a two-day exhibition without human intervention. This project was kindly supported by KUKA robotics.


2020

COVID-19

Supervisor

A low cost 3D-printable AR faceshield.

Summary

Supervisor

A low cost 3D-printable AR faceshield.


Abstract

SUPERvisor was a team effort of UC Berkeley students, made during the „Jacobs Institute COVID-19 Design Challenge“. During this three week hackathon, six members across three continents worked remotely on a two phase product for medical workers. The phase 1 model consists of an 3D-printable AR face-shield, enabled by a smartphone and $10 of material. Our team conducted user research with medical workers and military personell in the US, UK, and Germany. The project has been awarded the 2020 Linda Tischler Award by Fast Company.


2020

Bioinformatics

MicroMix

Making Data Science Intuitive for Genomic Research.

Summary

MicroMix

Making Data Science Intuitive for Genomic Research.


Abstract

A visual programming application for filtering, merging, transforming, and visualizing large genomic datasets. Programmable forms and logical and/or gates can be added, stacked, and customized. By combining filters and data transformations, researchers can easily perform complex data science without any coding experience. An additional novel WebGL 3D heat map, offers high-performance visualizations of large datasets in 2D and 3D, seamlessly integrated in MicroMix. The system is build on a Vue.js frontend, Python backend, and a MongoDB database. Python's powerful Pandas and NumPy libraries enable efficient computations even with large datasets. Sessions are stored in the highly efficient Apache Parquet format. This project has been developed at the Helmholtz Research Society by me and supervised by Jun. Prof. Lars Barquist and Prof. Jörg Vogel.


2019

Machine Learning

Machines describing man

Generating novel art with Generative Adversarial Networks.

Summary

Machines describing man

Generating novel art with Generative Adversarial Networks.


Abstract

Generating art with Machine Learning. This project revolves around the ability of computers to dream up portraits and abstract art. It documents the process of finding datasets, preparing them with high precision, benchmarking hardware and finally training multiple Generative Adversarial Networks (Karras et al.) on different genres of 2D art. It acts as a first attempt of proving that machines gain skills that have been previously reserved to truly intelligent species.


2018

Tangible Interfaces

This is (not) a drill

A tangible interface for displaying the change of the polar ice cap over the past 40 years.

Summary

This is (not) a drill

A tangible interface for displaying the change of the polar ice cap over the past 40 years.


Abstract

Interactive installation showing the extent of the polar ice cap from 1979 to 2018 featuring a 1.8 meter tall ice core sculpture. The projects goal was to compress accurate satellite data from NASA into an approachable visualization and creating an input system, that is closely tied to real scientifc methods, used for analyzing ice cores.


2018

Conceptual Design & 3D Design

The Greenhouse

Accelerating growth of ideas, like plants in a greenhouse.

Summary

The Greenhouse

Accelerating growth of ideas, like plants in a greenhouse.


Abstract

Concept for a hyperefficient mobile workspace. Designed to provoke human ideas and for connecting all actors required to create successful real-world products. The project attempts to democratize the start-up process and solve common problems of modern work and productivity. It proposes an online platform, where idea holders, manufacturers and investors are recommended and connected to each other. The seed of this concept is a mobile "cube", a possible solution for the workplace of the future. The concept is visualized in a playable Unity game.