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Ben Bashford - Notebook of Things

1 post filed under MIT

6616705951

a video posted 11 months ago

filed under: MIT, computer vision, flow, ubicomp, google,

Deep Shot by MIT student Tsung-Hsiang Chang and Yang Li from Google is a framework for capturing a user’s work state on one device and resuming it on another.

The system was developed during Chang’s internship at Google last summer and they presented a paper (PDF) at CHI in May.

(Source: popsci.com)

1 post filed under MIT

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a video posted 1 year ago

filed under: responsive environments, data, architecture, MIT,

“With his team at SENSEable City Lab, MIT’s Carlo Ratti makes cool things by sensing the data we create. He pulls from passive data sets — like the calls we make, the garbage we throw away — to create surprising visualizations of city life. And he and his team create dazzling interactive environments from moving water and flying light, powered by simple gestures caught through sensors.”

(Source: ted.com)

1 post filed under MIT

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a video posted 1 year ago

filed under: robots, emotion, MIT,

As a grad student, Dr. Cynthia Breazeal (MIT) wondered why we were using robots on Mars, but not in our living rooms. The key, she realized: training robots to interact with people. Now she dreams up and builds robots that teach, learn — and play.

1 post filed under MIT

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a video posted 1 year ago

filed under: kinect, motion, gestural, MIT,

This is pretty much Minority Report isn’t it?

It’s been built at MIT using Kinect, libfreenect and Linux. The graphical interface and the hand detection software were written to talk to the open source robotics package ‘ROS’, developed by Willow Garage. The hand detection software showcases the abilities of the Point Cloud Library (PCL), a part of ROS that MIT has been helping to optimize.

The hand detection software is able to distinguish hands and fingers in a cloud of more than 60,000 points at 30 frames per second, allowing natural, real time interaction.

Code available at:

http://www.ros.org/wiki/kinect

http://www.ros.org/wiki/mit-ros-pkg

1 post filed under MIT

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a video posted 1 year ago

filed under: Smart Objects, swarm behaviour, nanotech, MIT,

By autonomously navigating the water’s surface, Seaswarm proposes a new system for ocean-skimming and oil removal.

Seaswarm uses a photovoltaic powered conveyor belt made of a thin nanowire mesh to propel itself and collect oil. The nanomaterial, patented at MIT, can absorb up to 20 times its weight in oil. The flexible conveyor belt softly rolls over the ocean’s surface, absorbing oil while deflecting water because of its hydrophobic properties.

Seaswarm is intended to work as a fleet, or “swarm” of vehicles, which communicate their location through GPS and WiFi in order to create an organized system for collection that can work continuously without human support.