Robotic Motion Planning
George Konidaris and Daniel Sorin of Duke University have developed a new technology that cuts robotic motion planning times by 10,000 while consuming a small fraction of the power compared to current options. Watch one of their robotic arms in action as they explain how their innovative solution works.
DARPA Goes "Meta" with Machine Learning for Machine Learning
Data-Driven Discovery of Models (D3M) seeks to increase pace of scientific discovery and improve military planning, logistics and intelligence outcomes
Fun LoL to Teach Machines How to Learn More Efficiently
DARPA seeks mathematical framework to characterize fundamental limits of learning
NHL Goal Celebration Hack With A Hue Light Show And Real Time Machine Learning
From François Maillet:
In Montréal this time of year, the city literally stops and everyone starts talking, thinking and dreaming about a single thing: the Stanley Cup Playoffs. Even most of those who don’t normally care the least bit about hockey transform into die hard fans of theMontréal Canadiens, or the Habs like we also call them.
Below is a Youtube clip of the epic goal celebration hack in action. In a single sentence, I trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in my living room... ( full article )
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Featured Product
ATI Industrial Automation - MC-50 Manual Tool Changer
With intuitive and ergonomic lever operation, the patent-pending MC-50 Manual Robot Tool Changer provides a simple solution for quickly changing robotic end-of-arm tooling by hand. This compact and robust Tool Changer is designed for applications on collaborative robots that support payloads up to 25 kg and small industrial robots supporting payloads up to 10 kg. Featuring an ISO 50 mm mounting interface on the Master-side and Tool-side, the low-profile MC-50 mounts directly to most cobots and seamlessly integrates with many common cobot marketplace grippers and end-effectors.
