3D printing – MIT EECS

Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.

This image shows 3D-printed crystalline lattice structures with air-filled channels, known as "fluidic sensors," embedded into the structures (the indents on the middle of lattices are the outlet holes of the sensors.) These air channels let the researchers measure how much force the lattices experience when they are compressed or flattened.

Engineers 3D print materials with networks of sensors directly incorporated.

Editing tool makes fabrication process available to all.

This image contrasts the appearance of a coffee cup to the naked human eye (a black, nondescript cup) to the eye of a IR camera (where the cup appears white with a distinctive black mark).

An MIT team develops 3D-printed tags to classify and store data on physical objects.

Associate professor of Electrical Engineering and Computer Science Justin Solomon wants to bring great students into his research field from all corners of the globe. The Summer Geometry…

Advance incorporates sensing directly into an object’s material, with applications for assistive technology and “intelligent” furniture.

Using artificial intelligence to control digital manufacturing

New programmable materials can sense their own movements

Team creates 3D objects that change their appearance from different viewpoints

Invisible machine-readable labels that identify and track objects

The Shape Of Success: The Summer Geometry Initiative

Engineers create 3D-printed objects that sense how a user is interacting with them