Units:

12

Description:

Most machines in the world around us, from vehicles to medical devices to robots, are designed manually. Yes, computer-Aided Design (CAD) software helps to digitize intent, but those tools only help improve the fidelity of engineers' direct specifications. As computational tools become more capable, it opens the possibility to the automated design of cyber-physical systems --- machines invented partially or entirely by AI.

This course takes a pedagogical view of the computational design stack, with an emphasis on 'things that move.' Topics covered include:

-Mathematical Preliminaries
-Physical Simulation
-Control Synthesis
-Design Optimization
-Machine Learning For Design
-Designing For (Digital) Manufacturing
-Interactive Workflows

Each unit builds upon the last, culminating in a toolset that will empower students to design complex robots with just a couple dozen lines of code. The course includes a lab component and research-style final project.

Last Modified: 2026-01-05 1:52PM

Current session:

This course is currently being offered.

Semesters offered:

• Spring 2026