CSAIL system enables people to correct robot mistakes using brain signals.
Adam Conner-Simons via MIT News: 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?
A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Boston University is working on this problem, creating a feedback system that lets people correct robot mistakes instantly with nothing more than their brains. Cont'd...
PowerVision Announces Global Launch Tour for "Best of CES 2017" Award Winner PowerRay Underwater Robot to Start in Munich Then Other Major Cities in Europe, USA, and Asia
Developed by Omron Corporation, FORPHEUS (Future Omron Robotics Technology for Exploring Possibility of Harmonized aUtomation with Sinic Theoretics) has officially been given the Guinness World Records title for being the First robot table tennis tutor for its unique technological intelligence and educational capabilities.
According to the project's lead developer Taku Oya, the goal of FORPHEUS was to harmonise humans and robots, by way of teaching the game of table tennis to human players.
Evan Ackerman for IEEE Spectrum: Today, Cobalt Robotics (a startup based in Palo Alto, Calif.) is announcing an autonomous mobile robot designed for indoor security applications that can “work alongside human guards to provide better security than people can do alone.”
The key realization here is that security guards spend the vast majority of their time doing almost nothing, and even in a worst case scenario (like someone trying to break in, or a fire or other serious problem), their primary responsibility is making the right phone call as quickly as possible as opposed to dealing with the situation directly. Full article:
Xilinx Demonstrates Responsive and Reconfigurable Vision Guided Intelligent Systems at Embedded World 2017
Andrew Orlowski for The Register: Britain's most successful engineer Sir James Dyson is taking on Google and Facebook with a $2.5bn investment to turn the former RAF base at Hullavington near Malmesbury into a research campus for robotics, AI, and other advanced technology, including batteries and vision systems.
The size of the planned facility dwarfs the existing HQ. The investment marks both a change of direction for Dyson, which will now begin to challenge US data giants in the race to find practical implementations of AI, and expresses a vote of confidence in a post-EU British economy. The founder recently hinted that it was examining how to incorporate pattern recognition and decision making into its 360 Eye robot vacuum cleaner. Cont'd...
Ghost Minitaur™ Highly Agile Direct-Drive Quadruped Demonstrates Why Legged Robots are Far Superior to Wheels and Tracks When Venturing Outdoors
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