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.
SimPLE learns to pick, regrasp, and place objects using the objects’ computer-aided design model.
The unexpected finding could be important for designing spacecraft shielding or in high-speed machining applications.
MIT spinout Boston Metal is commercializing a new method for making steel and other metals, to help clean up the emissions-intensive industry.
With laser-based precision tools for measuring and tuning materials, MIT spinout Optigon aims to rev up the energy transition.
Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.
New curriculum from MIT and collaborating institutions aims to give technicians a ladder to become shop-floor leaders — “technologists” who bridge the gap between technicians and engineers.
PhD student Lavender Tessmer applies computation to create textiles that behave in novel ways.
Combing through 35,000 job categories in U.S. census data, economists found a new way to quantify technology’s effects on job loss and creation.
The majority of U.S. jobs are in occupations that have emerged since 1940, MIT research finds — telling us much about the ways jobs are created and lost.
New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.
Extractive industries threaten water, glaciers, and livelihoods, but new research offers hope.
In field tests, MIT spinoff AgZen demonstrated that its feedback-optimized spraying system could halve the pesticide needs of farms and improve crop yields.
State-of-the-art toolset will bridge academic innovations and industry pathways to scale for semiconductors, microelectronics, and other critical technologies.
MIT DMSE hosts its first-ever jobs fair, attracting industry giants, startups, and students for networking and career exploration.
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.