Phys.org: On the wall of Aaron Dollar's office is a poster for R.U.R. (Rossum's Universal Robots), the 1920 Czech play that gave us the word "robot." The story ends with the nominal robots seizing control of the factory of their origin and then wiping out nearly all of humanity. Dollar, fortunately, has something more cheerful in mind for the future of human-robot relations.
He sees them as helpers in our daily lives—performing tasks like setting the table or assisting with the assembly of your new bookcase. But getting to the point where robots can work in the unstructured environment of our homes (as opposed to industrial settings) would take a major technological leap and a massive coordination of efforts from roboticists around the globe. The living room has been called the last frontier for robots—but first, the robotics community needs some standards that everyone can agree on.
Enter a suitcase-sized box containing 77 objects. It contains things like hammers, a cordless drill, a can of Spam and a nine-hole peg test. As ordinary as they may seem, these carefully curated household items could be the future of a new kind of standardization for robotics. Known as the Yale-CMU-Berkeley (YCB) Object and Model Set, the intent is to provide universal benchmarks for labs specializing in robotic manipulation and prosthetics around the world. Cont'd...
Rising Media Announces 3D Printing, VR/AR, and Robotics Startups Selected to Compete in the Frontier Tech Showdown December 14 in San Diego, California
Leading automotive perception technology conference, AutoSens, doubles up in 2017 due to widespread demand
From AZoRobotics: As a result of a new machine learning algorithm formulated by engineering researchers Parham Aarabi (ECE) and Wenzhi Guo (ECE MASc 1T5) at University of Toronto, smartphones may soon be able to provide users with honest answers.
The researchers prepared an algorithm that was capable of learning directly from human instructions, instead of an existing set of examples, and surpassed conventional techniques of training neural networks by 160%.
But more astonishingly, their algorithm also surpassed its own training by 9% - it learned to identify hair in pictures with better reliability than that enabled by the training, signifying a major leap forward for artificial intelligence. Cont'd...
Mouser Electronics and Grant Imahara Partner with Easy Aerial to Develop a Unique Search and Rescue Drone Platform
Brain Corp Launches Its First Artificial Intelligence-based Product, EMMA, Receives Innovation of the Year Award
Colm Gorey for SiliconRepublic: Irishman Conor Walsh’s soft robotics exosuit was among the award winners at the recent Rolex Awards, due to the creator’s continuing efforts to develop tech for the benefit of humanity.
Now in its 40th year, the Rolex Awards are part of an international philanthropic programme that supports new and ongoing projects by individuals taking on major challenges to benefit humankind.
Hosted last night at a public awards ceremony in Los Angeles, the awards were presented to 10 laureates – including five young laureates – that included such wide-ranging topics as opthamology and agritech. Cont'd...
Analog Devices Acquires Laser Beam Steering Technology from Vescent Photonics to Enable Mainstream Adoption of Automotive LIDAR Systems
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