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Robot, know thyself: New vision-based system teaches machines to understand their bodies

Sanjay Sarma

Professor

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Late Summer Listening

Podcasts and audio stories offer a great way to learn about big ideas from MIT

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Engineering better care

MIT gears up to transform manufacturing

“Cold spray” 3D printing technique proves effective for on-site bridge repair

Photo Gallery: Student Awards Luncheon 2022

Eldercare robot helps people sit and stand, and catches them if they fall.

Neville Hogan

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Lydia Bourouiba

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From the Classroom to the Lab

Prof. Anand presents major advances in coupled theories for large-deformation solid mechanics in his new book.

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Major News Announcements from MechE

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March 4, 2026 The Future of Solid Mechanics

The Future of Solid Mechanics

March 3, 2026 How some skills become second nature

How some skills become second nature

March 3, 2026 A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster

A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster

February 26, 2026 MIT-Royalty Pharma Faculty Founder Initiative supports biotech innovators

MIT-Royalty Pharma Faculty Founder Initiative supports biotech innovators

February 25, 2026 Tackling industry’s burdensome bubble problem

Tackling industry’s burdensome bubble problem

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Bio-Inspired Robotics

MIT Mechanical Engineering students in Professor Sangbae Kim’s class explore why certain physical traits have evolved in animals in the natural world, then extract those useful principles, which are applicable to robotic systems, to solve such challenges as manipulation and locomotion in novel and interesting ways.

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Water is Life

As overpopulation and lack of rainfall fuel a crisis-level need in rural India for affordable drinking water, PhD candidate Natasha Wright and Assistant Professor Amos Winter work to design a low-cost desalination system, guided by insight from their extensive in-the-field research.

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Next Generation Electronics

Jeehwan Kim, associate professor of mechanical engineering at MIT, is using his background in materials science to build a physical neural network and produce cheap semiconductor wafers – technologies that could help bring the artificial intelligence power of super computers to handheld devices.

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