Research

Impact Areas

Project

Computational Multicopter Design

A system that can help you to design our own drone!

Tao Du

Leads

Tao Du

Research Areas

Robotics

Impact Areas

Energy

Transportation

Tao Du

Project

3D Generative Adversarial Networks

Vision Group

We study the problem of 3D object generation. We propose a novel framework, 3D Generative Adversarial Network (3D-GAN), leveraging recent advances in volumetric convolutional networks and generative adversarial nets.

Leads

Research Areas

Impact Areas

Project

Foundry: Design for Multi-Material 3-D Printing

A new approach for designs in multi-material fabrication

Leads

Research Areas

Impact Areas

Project

InstantCAD: Interactive Design Exploration/Optimization for CAD Models

Almost every object we use is developed with computer-aided design (CAD). While CAD programs are good for creating designs, using them to actually improve existing designs can be difficult and time-consuming.

Leads

Research Areas

Impact Areas

Computational Fabrication Group

Project

Computational Knitting: Patterning and Shaping for Everyone

Knitting is the new 3d printing. It has become popular again with the widespread availability of patterns and templates, together with the maker movements. Lower-cost industrial knitting machines are starting to emerge, but we are still missing the corresponding design tools. Our goal is to fill this gap.

Alexandre Kaspar

Leads

Alexandre Kaspar

Research Areas

Impact Areas

Entertainment

Computational Multicopter Design

Alexandre Kaspar

4 People Results matching all criteria

Tao Du

Graduate Student

CS PhD student

E taodu@csail.mit.edu

Lead

Member

Crowdsourcing in Graphics and Vision

CS PhD student

Alexandre Kaspar

Graduate Student

Graphics, crowdsourcing and hybrid fabrication.

E akaspar@mit.edu

Lead

Computational Knitting: Patterning and Shaping for Everyone

Member

Task-Driven Co-Optimization Of Articulated Robots

Graphics, crowdsourcing and hybrid fabrication.

Andrew Spielberg

Graduate Student

E aespielberg@gmail.com

Lead

Robot Compiler

Member

Distributed Robotics Laboratory

Yu Wang

Graduate Student

E wangyu9@mit.edu

RM 32-D475A

Lead

Boundary Element Method for Shape Analysis and Geometry Processing

Member

Geometric Data Processing Group

7 News Results matching all criteria

Algorithms & Theory AI & Machine Learning Graphics & Vision Programming Languages & Software Engineering Systems & Networking Entertainment Manufacturing

August 05 '19

Computer-aided knitting

New CSAIL research uses machine learning to customize clothing designs

Computer-aided knitting

Algorithms & Theory Graphics & Vision Robotics Manufacturing

July 22 '19

Automated system generates robotic parts for novel tasks

When designing actuators involves too many variables for humans to test by hand, this system can step in.

Automated system generates robotic parts for novel tasks

Algorithms & Theory AI & Machine Learning Computational Biology Computer Architecture Graphics & Vision Human-Computer Interaction Programming Languages & Software Engineering Robotics Security & Cryptography Systems & Networking Cybersecurity Education Energy Entertainment Health Care Manufacturing Transportation Wireless

June 27 '19

CSAIL hosts first-ever TEDxMIT

Speakers — all women — discuss everything from gravitational waves to robot nurses

CSAIL hosts first-ever TEDxMIT

AI & Machine Learning Graphics & Vision Systems & Networking Health Care Manufacturing

June 18 '19

Teaching artificial intelligence to connect senses like vision and touch

MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.

Teaching artificial intelligence to connect senses like vision and touch

Algorithms & Theory AI & Machine Learning Graphics & Vision Energy Entertainment Manufacturing

December 10 '18

Teaching machines to see in 3-D

CSAIL’s approach uses algorithms and “2.5-D” sketches to let computers visualize images from any perspective

Teaching machines to see in 3-D

Algorithms & Theory Graphics & Vision Robotics Manufacturing

September 10 '18

Robots can now pick up any object after inspecting it

Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.

Robots can now pick up any object after inspecting it

Graphics & Vision Manufacturing

February 05 '18

Automating materials design

With new approach, researchers specify desired properties of a material, and a computer system generates a structure accordingly.

Automating materials design

1 Group Results

Research Group

Geometric Data Processing Group

Our group studies geometric problems in computer graphics, computer vision, machine learning, optimization, and other disciplines.

Justin Solomon

Leads

Justin Solomon

Research Areas

Algorithms & Theory

Impact Areas

Lead

Justin Solomon

6 Project Results

Project

3D Generative Adversarial Networks

Vision Group

Leads

Research Areas

Impact Areas

Computational Fabrication Group

Project

Computational Knitting: Patterning and Shaping for Everyone

Alexandre Kaspar

Leads

Alexandre Kaspar

Research Areas

Impact Areas

Entertainment

Alexandre Kaspar

Project

Computational Multicopter Design

A system that can help you to design our own drone!

Tao Du

Leads

Tao Du

Research Areas

Robotics

Impact Areas

Energy

Transportation

Tao Du

Project

Foundry: Design for Multi-Material 3-D Printing

A new approach for designs in multi-material fabrication

Leads

Research Areas

Impact Areas

Project

InstantCAD: Interactive Design Exploration/Optimization for CAD Models

Leads

Research Areas

Impact Areas

Project

Single-Image 3D Interpreter Network

Vision Group

Leads

Research Areas

Impact Areas

Computational Multicopter Design

4 People Results

Tao Du

Graduate Student

CS PhD student

E taodu@csail.mit.edu

Lead

Member

Crowdsourcing in Graphics and Vision

CS PhD student

Alexandre Kaspar

Graduate Student

Graphics, crowdsourcing and hybrid fabrication.

E akaspar@mit.edu

Lead

Computational Knitting: Patterning and Shaping for Everyone

Member