AI copilot enhances human precision for safer aviation
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
The MIT and Accenture Convergence Initiative for Industry and Technology announces new graduate fellows.
Sharmi Shah ’23 pursued Course 2-A/6, a customizable degree path that combines mechanical engineering with computer science and electrical engineering.
When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.
Sharifa Alghowinem, a research scientist at the Media Lab, explores personal robot technology that explains emotions in English and Arabic.
With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.
Produced with techniques borrowed from Japanese paper-cutting, the strong metal lattices are lighter than cork and have customizable mechanical properties.
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.
Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.
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.
PIGINet leverages machine learning to streamline and enhance household robots' task and motion planning, by assessing and filtering feasible solutions in complex environments.
Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.
New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.
A new computational method facilitates the dense placement of objects inside a rigid container.