Research

  • Impact Areas
  • Research Areas

Algorithms & Theory

Foundational work that includes complexity, parallel computing and game theory

AI & ML

Spanning natural language processing, deep-learning, computer vision and more

Computational Biology

Understanding disease via epigenomics, gene regulation and bioinformatics

Computer Architecture

How CPUs, memory and other systems are designed and organized

Graphics & Vision

Teaching computers to interpret, create and animate visual data

Human-Computer Interaction

Software and hardware that let us naturally interact with technology

Programming Languages & Software Engineering

From compilers and verification to software design and engineering

Robotics

Vision, actuation, sensing and manipulation of machines

Security & Cryptography

Developing technologies to prevent and recover from cyber-attacks

Systems & Networking

From distributed systems and databases to wireless

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6 Group Results

Community of Research

Human-Computer Interaction Community of Research

The focus of the HCI CoR is inventing new systems and technology that lie at the interface between people and computation, and understanding their design, implementation, and societal impact.
Randall Davis
Fox 1
Jackson image
+4
Stefanie Mueller

Stefanie Mueller

Leads

Stefanie Mueller

Stefanie Mueller

Research Areas

Graphics & Vision
Human-Computer Interaction
Programming Languages & Software Engineering

Impact Areas

Education
Entertainment
Manufacturing

Lead

Stefanie Mueller

Stefanie Mueller

Randall Davis
Fox 1
Jackson image
+4
 
Stefanie Mueller

Stefanie Mueller

Research Group

Vision Group

Our researchers create state-of-the-art systems to better recognize objects, people, scenes, behaviors and more, with applications in health-care, gaming, tagging systems and more.

Leads

Ted Adelson

Ted Adelson

Durand

Fredo Durand

John W. Fisher III

John Fisher

Freeman

William Freeman

Polina Golland

Polina Golland

Horn

Berthold Horn

oliva-headshot

Aude Oliva

Torralba

Antonio Torralba

Grimson

Eric Grimson

Research Areas

AI & ML
Graphics & Vision

Impact Areas

Entertainment
Health Care
Transportation

Lead

Ted Adelson

Ted Adelson

Durand

Fredo Durand

John W. Fisher III

John Fisher

Freeman

William Freeman

Polina Golland

Polina Golland

Horn

Berthold Horn

oliva-headshot

Aude Oliva

Torralba

Antonio Torralba

Grimson

Eric Grimson

16 Project Results

Project

Computational Knitting: Patterning and Shaping for Everyone

Computational Design and Fabrication Group
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.
default headshot

Alexandre Kaspar

Leads

default headshot

Alexandre Kaspar

Research Areas

Graphics & Vision
Human-Computer Interaction

Impact Areas

Entertainment
Manufacturing
 
default headshot

Alexandre Kaspar

19 People Results

Gregory Falco

Gregory Falco

Research Affiliate
Dr. Falco is a hacker and expert in IoT and IIoT cybersecurity.
Gregory Falco
Dr. Falco is a hacker and expert in IoT and IIoT cybersecurity.
...

Michael Foshey

Mechanical Engineer/Project Manager
Additive Manufacturing, Robotics, Digital Fabrication
...
RM 32-321
Additive Manufacturing, Robotics, Digital Fabrication
Freeman

PI
Core/Dual

William Freeman

Professor
Vision, machine learning, Bayesian modeling
Freeman
T 253-8828
RM 32-D476

Lead

Vision Group
Computer Graphics Group

Member

Single-Image 3D Interpreter Network
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Learning the Arrow of Time from Videos
3D Generative Adversarial Networks
Embodied Intelligence Community of Research
Visual Computing Community of Research
Vision, machine learning, Bayesian modeling
Kaelbling

PI
Core/Dual

Leslie Kaelbling

Professor
Robotics, machine learning, motion planning
Kaelbling
T 258-9695
RM 32-333

Lead

Learning and Intelligent Systems
Machine Learning
Learning and Optimization
Robotic Planning and Manipulation with Force Information
Reliable Robotic Construction of Multi-object Arrangements
Learning and Planning with Compressed Linear Expectation Models
Active Learning of Models for Planning
Task and Motion Planning for Autonomous Robots
Robust Intelligent Robots

Member

Robust Intelligent Robots
Embodied Intelligence Community of Research
Robotics, machine learning, motion planning
Lozano-Perez

PI
Core/Dual

Tomas Lozano-Perez

Professor
Robotics, artificial intelligence
Lozano-Perez
T 253-7889
RM 32-333

Lead

Learning and Intelligent Systems
Learning and Optimization
Robotic Planning and Manipulation with Force Information
Reliable Robotic Construction of Multi-object Arrangements
Learning and Planning with Compressed Linear Expectation Models
Active Learning of Models for Planning
Task and Motion Planning for Autonomous Robots
Robust Intelligent Robots

Member

Robust Intelligent Robots
Embodied Intelligence Community of Research
Robotics, artificial intelligence
Rus

PI
Core/Dual

Daniela Rus

Director
CSAIL director, robotics, AI, data science, privacy
Rus
T 258-7567
RM 32/ 32-368/ 374

Lead

Distributed Robotics Laboratory
Social Network Extraction from GPS Datasets with Coresets
Safety Standards for Autonomous Vehicles
Soft Contact Modeling
Practical Secure Computation
Self-Driving Vehicles
Robust Learning for Autonomous Vehicles
Brain-Controlled Robots
Planning in Congestion for Autonomous Vehicles
Socially-Compliant Behavior for Autonomous Driving
Coresets for Machine Learning Algorithms
M-Blocks Modular Robotics
Robot Compiler
Distributed Robot Garden
Route and Motion Planning for Mobility-on-Demand with Rules of the Road

Member

Social Network Extraction from GPS Datasets with Coresets
Task-Driven Co-Optimization Of Articulated Robots
Wearable Blind Navigation
Drones that Drive
Better Models for Ride-Sharing
SoFi - The Soft Robotic Fish
Controlling drones and other robots with gestures
Using Muscle Signals to Lift Objects with Robots
Embodied Intelligence Community of Research
Helping robots learn using demonstrations
CSAIL director, robotics, AI, data science, privacy
solomon-headshot

PI
Core/Dual

Justin Solomon

Assistant Professor
Geometry, graphics, vision, machine learning, optimization.
solomon-headshot
RM 32-D460

Lead

Computer Graphics Group
Geometric Data Processing Group
Geometry in Large-Scale Machine Learning
Political Geometry: Establishing Fair Mathematical Standards for Political Redistricting
Sensible Deep Learning for 3D Data
Optimal transport for statistics and machine learning
Geometry and topology for scientific computing and shape analysis

Member

Visual Computing Community of Research
Geometry, graphics, vision, machine learning, optimization.
Torralba

PI
Core/Dual

Antonio Torralba

Professor
Vision, graphics, perception, machine learning
Torralba
T 324-0900
RM 32-386G

Lead

Vision Group
Understanding Light via Deep Neural Networks
Understandable Deep Networks
Understanding Food images

Member

Predictive Vision
Where Are They Looking?
Single-Image 3D Interpreter Network
VirtualHome: Representing Activities as Programs
Places Database for Scene Recognition
Semantic Scene Understanding through ADE20K dataset
Crossing the Vision-Language Boundary
Center for Deployable Machine Learning (CDML)
Visual Computing Community of Research
Embodied Intelligence Community of Research
Vision, graphics, perception, machine learning

18 News Results

F. Harrell
AI & ML Programming Languages & Software Engineering Education Entertainment

3Q: D. Fox Harrell on his video game for the #MeToo era

The Imagination, Computation, and Expression Laboratory at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has released a new video game called Grayscale, which is designed to sensitize players to problems of sexism, sexual harassment, and sexual assault in the workplace.

3Q: D. Fox Harrell on his video game for the #MeToo era

System directs camera-equipped drones to maintain framing of an aerial shot.
Algorithms & Theory AI & ML Graphics & Vision Robotics Entertainment Transportation

Cinematography on the fly

In recent years, a host of Hollywood blockbusters — including “The Fast and the Furious 7,” “Jurassic World,” and “The Wolf of Wall Street” — have included aerial tracking shots provided by drone helicopters outfitted with cameras. Those shots required separate operators for the drones and the cameras, and careful planning to avoid collisions. But a team of researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and ETH Zurich hope to make drone cinematography more accessible, simple, and reliable.

Cinematography on the fly