Latest in MIT MIT Robogami Lets You Design 3D-Printed Robots in Minutes
By RT Staff · 22 August, 2017 • MIT CSAIL’s "Interactive Robogami" lets you design and 3D-print origami-inspired robots from 2D designsMIT C-LEARN Helps Robots Learn, Share Skills
By Tim Hornyak · 10 May, 2017 • MIT CSAIL researchers have developed a Constraints Learning (C-LEARN) system that easily teaches robots a variety of tasks, including opening doors, transporting objects and extracting objects from containers. After a robot learns a new skill with this C-LEARN system, that knowledge can be automatically transferred to other robots.MIT CSAIL AI Initiative to Address Skills Gap
By MIT News · 12 April, 2017 • SystemsThatLearn@CSAIL is a new artificial intelligence from MIT CSAIL that aims to develop new "human-like systems" for data science and other fields.Brain-Controlled Robots Becoming a Reality at MIT
By Steve Crowe · 6 March, 2017 • A team from MIT’s Computer Science and Artificial Intelligence Laboratory and Boston University have created brain-controlled robots. The human needs to wear an EEG cap that measures their brain signals. The system looks for brain signals called "error-related potentials" that are generated when the brain notices a mistake has been made.Gill Pratt, Daniela Rus Win Engelberger Robotics Awards
By Steve Crowe · 23 February, 2017 • Dr. Gill Pratt, CEO of the Toyota Research Institute (TRI), and Dr. Daniela Rus, professor of electrical engineering and computer science and director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT), the recipients of the 2017 Engelberger Robotics Awards. Pratt won the 2017 Engelberger Robotics Awards for Leadership, while Rus takes home the 2017 Engelberger Robotics Awards for Education.How to Improve Machine Algorithms with Human Intuition
By RT Staff · 10 February, 2017 • By encoding the strategies of high-performing human planners in a machine-readable form, researchers at MIT CSAIL improved the performance of competition-winning planning algorithms by between 10 -15% on a challenging set of problems.Wearable AI Teaches Social Skills
By Steve Crowe · 1 February, 2017 • Using a Samsung Simband, MIT CSAIL has developed a wearable AI that analyzes audio and measures movement, heart rate, blood pressure and skin temperature to help detect the tone of a conversation and help people better understand social interactions.New $27M Initiative Focuses on AI Ethics & Governance
By MIT News · 11 January, 2017 • The Ethics and Governance of Artificial Intelligence Fund’s mission is to catalyze global research that advances AI for the public interest, with an emphasis on applied research and education.AI: NYC Can Operate Smoothly with 75% Fewer Taxis
By Steve Crowe · 2 January, 2017 • New York City has nearly 14,000 taxi medallion licenses, but MIT CSAIL researchers say 3,000 four-person taxis could serve 98 percent of demand in NYC.This AI Gets Smarter by Surfing the Internet
By RT Staff · 15 November, 2016 • "Information extraction" system helps turn plain text into data for statistical analysis.Self-Driving Scooter Helps Mobility-impaired People Get Around
By Steve Crowe · 8 November, 2016 • MIT and the National University of Singapore have built a self-driving scooter to get mobility-impaired people from a vehicle to home or the mall. The self-driving scooter uses the same sensors and software that had been used in previous autonomous car and golf cart tests.Shock-Absorbing Skins Protect 3D-Printed Robots
By Steve Crowe · 3 October, 2016 • By "programming" customized soft materials, a team of researchers from MIT CSAIL can 3D print more durable robots.4 MIT Teams Competing On ‘BattleBots’ This Season
By Abby Abazorius | MIT News Office · 3 July, 2016 • MIT’s thriving robotics culture is on display throughout this season of "BattleBots" on ABC.TV Shows Help Build Algorithm That Predicts Human Interactions
By Adam Conner-Simons & Rachel Gordon | CSAIL · 21 June, 2016 • MIT's CSAIL have used TV shows such as "The Office" to train a deep-learning based vision algorithm to more accurately predict human interactions. The researchers say this could help build smarter robots.MIT 4D Maps Help Robots Avoid Moving Obstacles
By MIT News · 26 April, 2016 • MIT researchers have developed a decentralized planning algorithm that can help teams of robots handle both stationary and moving obstacles, and do so with reduced communications bandwidth.
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