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.
Helping robots practice skills independently to adapt to unfamiliar environments
A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.
Precision home robots learn with real-to-sim-to-real
CSAIL researchers introduce a novel approach allowing robots to be trained in simulations of scanned home environments, paving the way for customized household automation accessible to anyone.
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Researchers use large language models to help robots navigate
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
A technique for more effective multipurpose robots
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
Robotic “SuperLimbs” could help moonwalkers recover from falls
A new MIT system could help astronauts conserve energy and extend missions on the lunar surface.
A better way to control shape-shifting soft robots
A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.
MIT engineers design flexible “skeletons” for soft, muscle-powered robots
New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots.
Engineering household robots to have a little common sense
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
“Imagine it, build it” at MIT
In class 2.679 (Electronics for Mechanical Systems II) a hands-on approach provides the skills engineers use to create and solve problems.
Method rapidly verifies that a robot will avoid collisions
Faster and more accurate than some alternatives, this approach could be useful for robots that interact with humans or work in tight spaces.
Study determines the original orientations of rocks drilled on Mars
The “oriented” samples, the first of their kind from any planet, could shed light on Mars’ ancient magnetic field.
New AI model could streamline operations in a robotic warehouse
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.
Baran Mensah: Savoring college life in a new country
From robotics to dance, the MIT senior has made it his mission to explore as many new experiences as possible at the Institute.