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An MIT-invented model efficiently and simultaneously optimizes control and design of soft robots for target tasks, which has traditionally been a monumental undertaking in computation. The model, for instance, was significantly faster and more accurate than state-of-the-art methods at simulating how quadrupedal robots (pictured) should move to reach target destinations.

How to design and control robots with stretchy, flexible bodies

Optimizing soft robots to perform specific tasks is a huge computational problem, but a new model can help.

November 22, 2019

DeepRole, an MIT-invented gaming bot equipped with “deductive reasoning,” can beat human players in tricky online multiplayer games where player roles and motives are kept secret.

Bot can beat humans in multiplayer hidden-role games

Using deductive reasoning, the bot identifies friend or foe to ensure victory over humans in certain online games.

November 19, 2019

“We believe that AI plays a key role now, and in the future development of the region, if it’s used in the right way,” says Omar Costilla Reyes, one of four MIT graduate students working to help Latin America adopt artificial intelligence technologies. Pictured here (left to right) are Costilla Reyes, Emilia Simison, Pedro Antonio Colon-Hernandez, and Guillermo Bernal.

Students push to speed up artificial intelligence adoption in Latin America

To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.

November 19, 2019

In lane-merging scenarios, a system developed at MIT could distinguish between altruistic and egoistic driving behavior.

Predicting people's driving personalities

System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?

November 18, 2019

Two permanent magnets are tracked with magnetic field sensors. MIT engineers have devised an algorithm for high-speed tracking of any number of magnets, with significant implications for augmented reality and prosthesis control.

Algorithm may improve brain-controlled prostheses and exoskeletons

An improved method for magnet tracking enables high-speed wireless tracking through various materials.

November 18, 2019

The section of the MIT.nano courtyard that runs along the south side of the building has been named the Improbability Walk, in honor of Mildred Dresselhaus.

Improbability Walk at MIT.nano honors Mildred Dresselhaus

Courtyard space celebrates beloved professor’s research and mentorship.

November 15, 2019

MIT senior wins 2020 Rhodes Scholarship for Syria, Jordan, Lebanon, and Palestine region

The Rhodes Scholarship offers opportunities for Arab students.

November 15, 2019

Jaleesa Trapp shakes things up in the classroom and in computing

The PhD student and former high school teacher aims to study the ways young people of color interact with technology.

November 14, 2019

MIT engineers identified “functional elements” in plant growth that they realized in the design of a physical robot. In a plant (right), “fluidized material,” in the form of nutrients, flow up to the tip, where they convert into solid material, in the form of the plant’s stem. The design basis (left) for the new robot works similar, with fluidized material, in the form of a flexible chai...

Flexible yet sturdy robot is designed to “grow” like a plant

Its extendable appendage can meander through tight spaces and then lift heavy loads.

November 7, 2019

MIT.nano announces the Mildred S. Dresselhaus Lectures

Cornell University’s Paul McEuen will inaugurate series to honor beloved MIT professor.

November 5, 2019

Eight distinguished researchers spoke at the 2019 Materials Day Symposium. Pictured here (l-r) are MIT professors Carl Thompson, Asu Ozdaglar, Elsa Olivetti, and Ju Li.

Materials Day talks examine the promises and challenges of AI and machine learning

The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.

November 5, 2019

Even in unexplored waters, an MIT-developed robotic system can efficiently sniff out valuable, hard-to-find spots to collect samples from. When implemented in autonomous boats deployed off the coast of Barbados (pictured), the system quickly found the most exposed coral head —meaning it was located in the shallowest spot — which is useful for studying how sun exposure impacts coral organisms.

Autonomous system improves environmental sampling at sea

Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.

November 4, 2019

For last-mile delivery, robots of the future may use a new MIT algorithm to find the front door, using clues in their environment.

Technique helps robots find the front door

Navigation method may speed up autonomous last-mile delivery.

November 4, 2019

Left to right: Neville Hogan, Jaya Narain, Robert Bond, Dan Frey, and Sam Schmidt spoke as part of “Envisioning the Future of Technology-Enabled Mobility” at MIT.

From 3D-printed limbs to semi-autonomous race cars

Envisioning the future (and challenges) of designing affordable technology-enabled mobility devices.

November 1, 2019

Bryan Reimer, an AgeLab research scientist and the associate director of the New England University Transportation Center, was honored for his work developing a better understanding of how people engage with vehicle automation.

Bryan Reimer receives human factors innovator award

MIT AgeLab research engineer directs a team that studies in-vehicle automation, robotics, AI, and the mechanics of driver attention, among other topics.

October 30, 2019

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