“Wait, we have the tech skills to build that”
From robotics to apps like “NerdXing,” senior Julianna Schneider is building technologies to solve problems in her community.
From robotics to apps like “NerdXing,” senior Julianna Schneider is building technologies to solve problems in her community.
The new design could be adapted to assist the elderly, sort warehouse products, or unload heavy cargo.
In the 2025 Dresselhaus Lecture, the materials scientist describes her work 3D printing soft materials ranging from robots to human tissues.
The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.
Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.
AquaCulture Shock program, in collaboration with MIT-Scandinavia MISTI, offers international internships for AI and autonomy in aquaculture
The new design from MIT engineers could pump up many biohybrid builds.
A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.
The approach could enable autonomous vehicles, commercial aircraft, or transportation networks that are more reliable in the face of real-world unpredictability.
At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.