Aeronautical and astronautical engineering
Aeronautical and astronautical engineering

Aeronautical and astronautical engineering

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles Faculty Profile School of Engineering sensors

Autonomous innovations in an uncertain world

Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.

Aeronautical and astronautical engineering Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Lincoln Laboratory machine learning Mechanical engineering MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics Robots School of Engineering

AI helps robots manipulate objects with their whole bodies

With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Collaboration Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Data Economics Electrical Engineering & Computer Science (eecs) Funding Grants Human-computer interaction Industry Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab MIT Schwarzman College of Computing MIT Sloan School of Management Operations research Physics Research School of Engineering School of Humanities Arts and Social Sciences School of Science Technology and society

Artificial intelligence for augmentation and productivity

The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics Robots School of Engineering

A faster way to teach a robot

A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Data Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Robotics School of Engineering

3 Questions: Honing robot perception and mapping

Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.

Aeronautical and astronautical engineering Artificial Intelligence Classes and programs Computer Science and Artificial Intelligence Laboratory (CSAIL) Data Department of Defense (DoD) Education, teaching, academics Electrical Engineering & Computer Science (eecs) Government Leadership machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Office of Open Learning School of Engineering Security studies and military

Educating national security leaders on artificial intelligence

Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Computer science and technology Drones Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing Research Robotics Robots School of Engineering

A step toward safe and reliable autopilots for flying

A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.