Making a Wood Joint out of 8 Pieces for a Structural System

The outcome of the project is a concept of a space that would build itself. Kenneth Cheung in his PhD, titled ”DigitalCellular Solids: reconfigurable composite materials.”,  developed a structural modular system out of two-dimensional crosses forming a rigid network. Cheung proposed that his approach could be used in the aerospace industry and in architecture. The research project presented below uses Cheung’s modular system for architectural purposes. The aim is to find and test out different Fabrication Methods such as CNC milling to create a prototype in Scale 1:1 within a technological and cost constraints so that people anywhere on the planet could build it themselves.


Cut Steps


The project took place in WS 2016/17 and is part of the master students research model at DDU at TU Darmstadt.








 For more information check out the booklet

Filling Space: Geometry & CNC Hotwire Cutting

The goal of this project is to produce a modular system for exhibition stand using a space filling 3D pattern and elements cut out from styrofoam on a CNC Hotwire cutter. The projects presents investigations into space filling patterns. It also documents the calibration and fine-tuning of the CNC Hotwire cutter.


Aggregation Example


The project took place in WS 2016/17 and is part of the master students research model at DDU at TU Darmstadt.








Jialin_Lin-Filling-Space-Geometry-&-CNC-Hotwire-Cutting_CoverFor more information check out the booklet

Creating an Obstacle Sensor for Robotic Tasks

This research project documents the construction of a laser barrier as an object sensor for easy implementation in generic pick-and place robotic procedures
The main goal is to design an inexpensive plug-and-play object sensor for generic gripping and placing robots. The aim is that after reading this paper everyone can build this sensor on a laser barrier. The focus of this work is the communication between an Arduino and a computer.

One possible area of application is the 20.000 BLOCKS project, where our robot Ginger — a UR10 robot arm — recreates buildings designed by Minecraft players as models.


Arduino Wiring Diagram



The project took place in SoSe 2017 and is part of the master students research course at DDU at TU Darmstadt.









Max_Robot-Obstacle-Sensor Cover For more information check out the booklet



Geometric Complexity is ubiquitous in nature and comes for free with 3d printing. In this project 3D scanning bridges both worlds:

A natural object is scanned and translated into a digital mesh. The mesh forms the interface to a 3d printed object that serves as a perfectly fitting connection piece. Irregularly shaped stones and minimal 3d print create complex assemblies.


The project took place in WS 2017/18 and is part of the master students research model at DDU.









Screen Shot 2018-06-05 at 16.10.18For more information check out the booklet:


Thanks for support by:


Martin Kerch, M. SC


A Thousand Floor Plans — CHASELIGHT

Project and Text by Mariona Carrion, Morgane Hamel and Louise Hamot.

Don’t you want to live in a house with the best daylight? A daylight that matches your way of living and habits? If yes, Chaselight is for you!

The aim of the app is to empower homeowners to find the best floor plan where they can enjoy their daily activities, such as drinking coffee, with the suitable levels of daylight.

Daylight is measured in intensities (luxes) but how can you explain it to a non-expert?
We thought about referring to activities — different actions need different light ambiances and therefore intensities. Users select the activity and the app links this activity to a range of intensities in which should be suitable to do this activity. How do we translate these results to a floor plan? Users see a floor plan with every room painted in a different color. The darker ones are the rooms where it is less suitable to do the action and vice versa for the lighter ones.
In case they want to know more about a floor plan, they can click on one room and see exactly where they can carry out these activities and when.

It’s then in the user’s hands to say if the floor plan suits them or not.



A Thousand Floor Plans — COSY HOME

Project and Text by Jörg Hartmann, Stefanie Joachim and Max Sand.

Das Video zeigt das Ergebnis des Seminars „Tausend Grundrisse“ am Fachgebiet DDU – Digital Design Unit der TU Darmstadt. Die Aufgabe bestand darin eine App zu konzipieren mit der man den für sich idealen Grundriss erhält.

Wir haben die Aufgabe soweit auslegt, dass wir anhand des Wandaufbaus, die vorgegebenen Grundrisse dahingehend mit Honeybee überprüfen können, welcher zonierte Raum die höchste Dichte an Behaglichkeit aufweist.

Das App-Konzept nutzt Rhino und Grasshopper, sowie die Plugins Ladybug und Honeybee mit deren Hilfe ein Algorithmus erstellt wird, der uns als Ergebnis die drei passendsten Grundrisse für den User ermittelt. Die Grundrisse zeigen uns das Haus mit seiner Kubatur und dessen Energieverbrauch, anhand des Wandaufbaus. Davon leiten wir dann den Raum mit der höchsten, in diesem Falle thermischen Behaglichkeit ab.

Die Parameter für Grasshopper beziehen sich auf den Standort, den Energieverbrauch anhand des Fassadenaufbaus und die Fassadenöffnung um die Behaglichkeit zu ermitteln.

Die Analyse läuft über Honeybee, das z.B. Klimadaten für den ausgewählten Standort auswertet.
Die Ergebnisse werden farbig visualisiert ausgegeben um den Vergleich darstellen zu können.




Project and Text by Luisa Ruffertshöfer, Marc Ritz and Gerrit Walser.
The consideration of renewable energetic gain of a building becomes a main focus of contemporary sustainable assessments.
As a first approach the following survey, covering many aspects why people choose floor plans, shows different aspects but renewable energetic gain is one of the most important. With this app people can analyze various floor plans, on how much energy they could provide through solar systems in a whole year. With several floor plans they can calculate the kWh production per m2 which are connected to the roof surface. The kWh result of a floor plan allows us to calculate the heat and the electric gain through a solar system. These calculations and their technical aspects we tackled with a combination of several floor plans, we drew in Rhino and connected them afterwards with Grasshopper, respectively Ladybug. Through these programs we calculate the energetic outcome per year, produced by any given square meter floor plan based on a specific location. To mask those rather complicated, technical aspects, we developed several app mock ups to display one of many possibilities for a user-friendly usage.


A Thousand Floor Plans — SAVING MONEY

Project and Text by Ana Sophie Sánchez Wurm and Ana Baraibar Jiménez.

There is a lot of factors that affect people when looking for a new home. Layout, orientation, and personal preferences are some of the most important ones. But what about money? Most people have to work with a limited budget when buying a new house, and the electricity, water and heat bills will be a fundamental part in the expenses of the family from the moment they start living in the house. That is the reason why we focused our effort in making a tool that allows users to calculate how large some of the bills will be while living in a chosen house, particularly the electricity ones, based in the living style of the homeowners. Our app also shows the users how the selected house can help them reduce these costs using solar panels to provide their own solar energy and thus saving money. Each house has its own „saving“ rate, and the app sorts them to make easier for the future homeowners to choose their dream house.



A Thousand Floor Plans — COSTINATOR

Project and Text by Nicole Klumb and Maximilian Pfaff.

"How could homeowners choose a floor plan between thousands? And how could this floor plan fit their needs?" This question was the topic of the course "1000 floor plans" lead by Anton Savov.

Through conducting a survey we found out that the building costs for a house are very important for the homeowners. And that is how our idea was born.

We decided to create an app that calculates the costs of construction out of a floor plan.

To keep the app as user-friendly as possible, it only calculates the construction costs for the shell. That makes it easier for the user to understand and to get a feeling for the floor plan. Checkout our booklet and the video to get further information of how our app works.



A Thousand Floor Plans — ViewSPOTS

Project and Text by Anjuscha Helbig and Philipp Vehrenberg.

ViewSPOTS is an app that helps people find the perfect floor plan based on their own visual preferences. It analyzes the view connections to the outside and the visual connections between the different rooms in the inside of the house.

ViewSPOTS uses Grasshopper to analyze the views of a floor plan. From any given point the direct and indirect internal and external views are calculated. A grid of many points analyzes the entire floor plan and creates a view connection diagram. The diagram displays the amount of internal views among the rooms and the external views of each room separately. A heat map is generated from the external views which gives an overall impression of the amount of building envelope openings.

Each person has different needs and requirements when it comes to their own living spaces - our app recognizes this and allows the user to find a floor plan that best suits their needs based on their own view connection diagram. Their diagram is matched with a floor plan from a databank of thousands of already analyzed floor plans and thus, the users finds their own perfect floor plan.

ViewSPOTS Video:

ViewSPOTS Booklet: