Course Graduate Fall 2025
Computational Design Studio
Daniel Cardoso Llach
Research2023–2025Project Lead: Daniel Cardoso Llach
This research investigates the long-term archival and interpretation of architectural design data, exploring how computational design artifacts persist, decay, and transform across technological epochs. The project develops frameworks for understanding design knowledge as it accumulates over deep time scales.
How This Connects
3 LABS7 PEOPLE4 PUBLICATIONS5 THESES3 THEMES
Part of
Publications
Towards Human-Centered Construction Robotics: A Reinforcement Learning-Driven Companion Robot for Contextually Assisting Carpentry Workers
Robot in the loop: a human-centered approach to contextualizing AI and robotics in construction
Software Models Design
An Archive of Interfaces: Exploring the Potential of Emulation for Software Research, Pedagogy, and Design
Robot in the loop: a human-centered approach to contextualizing AI and robotics in construction
Software Models Design
An Archive of Interfaces: Exploring the Potential of Emulation for Software Research, Pedagogy, and Design
Theses
Think-Aloud Grammar: Constructing Design Thinking
as an Artifact
The 3D Form Analysis of Regional Architecture Using Deep Learning: A Case Study of Wood Churches from the Carpathian Mountains
Rematerializing Graphs
Towards a Machine Learning Framework in Space Syntax
Mobile Robot-Assisted Material Handling in Prefabricated Housing Factories
The 3D Form Analysis of Regional Architecture Using Deep Learning: A Case Study of Wood Churches from the Carpathian Mountains
Rematerializing Graphs
Towards a Machine Learning Framework in Space Syntax
Mobile Robot-Assisted Material Handling in Prefabricated Housing Factories