Richard Wiesman, professor of the practice in mechanical engineering, dies at age 69
A highly respected educator and mentor with a distinguished industry career, Wiesman inspired generations of mechanical engineering students.
A highly respected educator and mentor with a distinguished industry career, Wiesman inspired generations of mechanical engineering students.
A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
The realistic model could aid the development of better heart implants and shed light on understudied heart disorders.
MIT CSAIL researchers established new connections between combinatorial and continuous optimization, which can find global solutions for complex motion-planning puzzles.
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.
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.