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MIT

by   -   May 18, 2017
An Imperial Snowtrooper inspects a competitor’s entry at the 2017 MIT Mechanical Engineering 2.007 Student Design Final Robot Competition. Photo: Tony Pulsone

Thursday night, dozens of robots designed and built by undergraduates in a mechanical engineering class endured hours of intense, boisterous, and often jubilant competition as they scrambled to rack up points in one-on-one clashes on special “Star Wars”-themed playing arenas.

by   -   May 10, 2017

MIT CSAIL approach allows robots to learn a wider range of tasks using some basic knowledge and a single demo.

by   -   April 12, 2017
MIT Professor Daniela Rus, director of CSAIL, said the goal of a new SystemsThatLearn@CSAIL initiative is “to create a new generation of AI tools that are deeply rooted in systems.” Photo: Jason Dorfman/MIT CSAIL

From self-driving cars to the internet of things, artificial intelligence (AI) has reached new levels of sophistication in recent years. With that in mind, this week MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) launched an industry collaboration focused on using machine learning to create functional human-like systems.

by   -   March 27, 2017

New 3-D-printed device mimics the goldbug beetle, which changes color when prodded.

by   -   March 22, 2017

Microfluidic device generates passive hydraulic power, may be used to make small robots move.

by   -   March 17, 2017

In the latest issue of the journal Autonomous Robots, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory and their colleagues present a new technique for preventing malicious hackers from commandeering robot teams’ communication networks. The technique could provide an added layer of security in systems that encrypt communications, or an alternative in circumstances in which encryption is impractical.

by   -   March 6, 2017
The feedback system enables human operators to correct the robot’s choice in real-time – Jason Dorfman, MIT CSAIL

For robots to do what we want, they need to understand us. Too often, this means having to meet them halfway: teaching them the intricacies of human language, for example, or giving them explicit commands for very specific tasks. But what if we could develop robots that were a more natural extension of us and that could actually do whatever we are thinking?

by   -   January 24, 2017
A new system called Data Civilizer automatically finds connections among many different data tables and allows users to perform database-style queries across all of them. The results of the queries can then be saved as new, orderly data sets that may draw information from dozens or even thousands of different tables.
A new system called Data Civilizer automatically finds connections among many different data tables and allows users to perform database-style queries across all of them. The results of the queries can then be saved as new, orderly data sets that may draw information from dozens or even thousands of different tables.

The age of big data has seen a host of new techniques for analyzing large data sets. But before any of those techniques can be applied, the target data has to be aggregated, organized, and cleaned up.

That turns out to be a shockingly time-consuming task. In a 2016 survey, 80 data scientists told the company CrowdFlower that, on average, they spent 80 percent of their time collecting and organizing data and only 20 percent analyzing it.

by   -   January 20, 2017

MIT Professor Daniela Rus is researching SMART automation and for the future of urban mobility.

by   -   December 5, 2016
PhD student Tao Du watching the bunnycopter take off . Image credit: Jason Dorfman, MIT CSAIL
PhD student Tao Du watching the bunnycopter take off . Image credit: Jason Dorfman, MIT CSAIL

This fall’s new FAA regulations have made drone flight easier than ever for both companies and consumers. But what if the drones out on the market aren’t exactly what you want?

A new system from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is the first to allow users to design, simulate and build their own custom drone. Users can change the size, shape and structure of their drone based on the specific needs they have for payload, cost, flight time, battery usage and other factors.

by   -   December 1, 2016
Tomaso Poggio, a professor of brain and cognitive sciences at MIT and director of the Center for Brains, Minds, and Machines, has long thought that the brain must produce “invariant” representations of faces and other objects, meaning representations that are indifferent to objects’ orientation in space, their distance from the viewer, or their location in the visual field. Image Credit: Massachusetts Institute of Technology
Image: Massachusetts Institute of Technology

MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.

by   -   October 18, 2016

Longtime professor and beloved advisor was known for advances in experimental and theoretical studies of vision, perception, and cognition.

by   -   September 20, 2016

MIT, AMS Institute will collaborate to solve complex urban problems for Amsterdam with the development of autonomous “roboats.”

by   -   May 17, 2016
Lockheed Martin CTO Keoki Jackson '89, SM '92, ScD '97 (center, left) and MIT AeroAstro department head Jaime Peraire congratulate each other after signing a research collaboration agreement between the two organizations. Initial research will focus on robotics and autonomous systems. Photo: William Litant/MIT AeroAstro
Lockheed Martin CTO Keoki Jackson ’89, SM ’92, ScD ’97 (center, left) and MIT AeroAstro department head Jaime Peraire congratulate each other after signing a research collaboration agreement between the two organizations. Initial research will focus on robotics and autonomous systems.
Photo: William Litant/MIT AeroAstro

In a new collaborative initiative in autonomy and robotics, MIT and Lockheed Martin scientists will focus on innovations needed to enable generation-after-next autonomous systems. Improvements in human/machine teaming and navigation in complex environments are among the research challenges that Lockheed Martin is inviting MIT faculty and their students to help solve.

by   -   April 28, 2016

Team will program NASA’s “Valkyrie” for tasks aimed at future space missions.



Disney Robotics
September 17, 2017


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