Project

Autodesk @ MaRS

Architecture, Engineering, and Construction

Overview

Generative design for architecture uses the same workflow as generative design for manufacturing, but it involves more complex goals and more stakeholders. In this project, Autodesk Research began this process by collecting data from employees and managers about work styles and location preferences. The team then developed six primary and measurable goals: work style preference, adjacency preference, low distraction, interconnectivity, daylight, and views to the outside. Researchers created a geometric system with multiple configurations of work neighborhoods, amenities, circulation, and even stacked private offices. Then, the team automated the process of exploring thousands of configurations and discovering ones that managed trade-offs and scored best.

Related Resources

See what’s new.

Publication

2024

Optimal design of frame structures with mixed categorical and continuous design variables using the Gumbel–Softmax method

New gradient-based optimizer for handling budget and material…

Publication

2022

Harnessing Game-Inspired Content Creation for Intuitive Generative Design and Optimization

A multi-scale generative design model that adapts the Wave Function…

Publication

2023

Generative design for COVID-19 and future pathogens using stochastic multi-agent simulation

Proposing a generative design workflow that integrates a stochastic…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Load projects