Hacking robotic arms, predicting flight arrival times, manufacturing in America, tracking Disney customers (industrial Internet links)

The next wave of manufacturing will be highly automated--and American. Also, a hardware hacking collective rehabilitated a pair of cast-off industrial robots.

Flight Quest (GE, powered by Kaggle) — Last November GE, Alaska Airlines, and Kaggle announced the Flight Quest competition, which invites data scientists to build models that can accurately predict when a commercial airline flight touches down and reaches its gate. Since the leaderboard for the competition was activated on December 18, 2012, entrants have already beaten the benchmark prediction accuracy by more than 40%, and there are still two weeks before final submissions are due.

Robot Army (NYC Resistor) — A pair of robotic arms, stripped from their previous application with wire cutters, makes its way across the Manhattan Bridge on a bicycle and into the capable hands of NYC Resistor, a hardware-hacker collective in Brooklyn. There, Trammell Hudson installed new microcontrollers and brought them back into working condition.

The Next Wave of Manufacturing (MIT Technology Review) — This month’s TR special feature is on manufacturing, with special mention of the industrial Internet and its application in factories, as well as a worthwhile interview with the head of the Reshoring Initiative.

At Disney Parks, a Bracelet Meant to Build Loyalty (and Sales) (The New York Times) — A little outside the immediate industrial Internet area, but relevant nevertheless to the practice of measuring every component of an enormous system to look for things that can be improved. In this case, those components are Disney theme park visitors, who will soon use RFID wristbands to pay for concessions, open hotel doors, and get into short lines for amusement rides. Disney will use the resulting data to model consumer behavior in its parks.


This is a post in our industrial Internet series, an ongoing exploration of big machines and big data. The series is produced as part of a collaboration between O’Reilly and GE.

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