For developing designers, there’s magic in 2.737 (Mechatronics)
Mechatronics combines electrical and mechanical engineering, but above all else it’s about design.
Engineering and matters of the heart
Professor Ellen Roche is creating the next generation of medical devices to help repair hearts, lungs, and other tissues.
AI assistant monitors teamwork to promote effective collaboration
An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
MIT engineers design tiny batteries for powering cell-sized robots
These zinc-air batteries, smaller than a grain of sand, could help miniscule robots sense and respond to their environment.
A new model offers robots precise pick-and-place solutions
SimPLE learns to pick, regrasp, and place objects using the objects’ computer-aided design model.
Helping robots practice skills independently to adapt to unfamiliar environments
A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.
Precision home robots learn with real-to-sim-to-real
CSAIL researchers introduce a novel approach allowing robots to be trained in simulations of scanned home environments, paving the way for customized household automation accessible to anyone.
Flying high to enable sustainable delivery, remote care
Drone company founders with MIT Advanced Study Program roots seek to bring aerial delivery to the mainstream.
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Designing for outer space
With NASA planning permanent bases in space and on the moon, MIT students develop prototypes for habitats far from planet Earth.
Researchers use large language models to help robots navigate
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
Helping robots grasp the unpredictable
MIT CSAIL’s frugal deep-learning model infers the hidden physical properties of objects, then adapts to find the most stable grasps for robots in unstructured environments like homes and fulfillment centers.
A technique for more effective multipurpose robots
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
School of Engineering welcomes new faculty
Fifteen new faculty members join six of the school’s academic departments.
MIT scientists learn how to control muscles with light
A new study suggests optogenetics can drive muscle contraction with greater control and less fatigue than electrical stimulation.