CALL FOR PAPERS:Computer Vision in Vehicle Technology: From Earth to MarsInternational Workshop in Conjunction with ICCV 2013, Sydney, Australiahttp://www.cvc.uab.es/adas/CVVT2013IMPORTANT DATES ([Imageworld] CfP: Workshop on Computer Vision in Vehicle...
Meet Rapiro, the kit robot with a space inside its kawaii head to accomodate the Raspberry Pi microcomputer. The gizmo is the creation of Shota Ishiwatari, the Japanese gadgeteer who came up with a brain-wave controlled cat-ear headband and a heart-rate controlled wearable wagging tail, among other ‘only in Japan‘ creations. Rapiro is just as cute as these prior creations but may well have wider appeal — not least because it allows Raspberry Pi owners to make their Pi mobile.
Indeed, it’s just two days since Rapiro went live on Kickstarter and it’s already exceeded its original funding goal of £20,000, with close to 140 backers making pledges — and still 57 days to run on the campaign. Clearly Pi owners have a big appetite for cute home-assembly robotics.
The bot brings to mind the (now defunct) Nabaztag Wi-Fi rabbit. Except, instead of trying to be a plug-and-play consumer-friendly gizmo, Rapiro is a self-assembly, hackable, programmable, mobile variant of that sort of connected companion device. Its creators say the aim is to be a “catalyst between robotics and Raspberry Pi”, noting that its price will be at around a quarter of “current aesthetic robot kits” and a tenth the price of the price of “current linux-powered humanoid robot kits”.
“We want to start a revolution in cute, cool, affordable, customizable, and programmable robots,” they say on the campaign page, adding that they plan to publish Rapiro’s 3D data (.stl) on their website so owners will be able to further customise the design using a 3D printer.
Rapiro’s kit includes 12 servo motors, allowing for a range of movements such as walking and gripping objects when the bot is assembled. It also has a pair of full-colour LED eyes. As well as a space (in its head) for the Pi to be installed (Pi is obviously not included in the kit), Rapiro can also incorporate the Raspberry Pi camera module to add computer vision capabilities — so it could, for instance, be used as a in-home security robot that can wander from room to room.
Artificial retina restores rat vision HealthCentral.com While the technology to restore sight in blind humans is still in the very early stages, researchers from Stanford University may have made a significant breakthrough.
Robotic Arm Will Kick Your Butt at Air Hockey Yahoo! News The robot, which is mounted on a regular air-hockey table, is manufactured by Barrett Technology, a spin-off of MIT's Artificial Intelligence Lab.
The Artificial Intelligence Lab (AIL) at the University of Zurich is the home to a 1.2m tall robot namedRoboy. He is modeled after the anatomy of a 2 – 3 year old child and uses artificial “tendons” to move about. Researchers hope to have Roboy operational by 2013 and unveiled at the Robots on Tour event in Zurich.
How we trained our robots to clean radar images for Dark Sky. Removing noise from radar images has turned out to be one of the biggest technical challenges we've faced while developing Dark Sky's forecasting system.
Google almost completely revamped the Google+ photo experience last week, but somehow the company didn't get around to announcing one of the coolest photo-related features in its repertoire: Google now uses computer vision and machine learning to...
The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization.
Mother Nature Network Billionaires could live forever by putting their brains in robots Mother Nature Network Robot immortality is the brainchild of Dmitry Itskov, an internet entrepreneur who wants to help people live forever.
Seeing the human pulse MIT News The algorithm works by combining several techniques common in the field of computer vision. First, it uses standard face recognition to distinguish the subject's head from the rest of the image.
By simulating 25,000 generations of evolution within computers, Cornell University engineering and robotics researchers have discovered why biological networks tend to be organized as modules -- a finding that will lead to a deeper understanding of the evolution of complexity.
The new insight also will help evolve artificial intelligence, so robot brains can acquire the grace and cunning of animals.
From brains to gene regulatory networks, many biological entities are organized into modules -- dense clusters of interconnected parts within a complex network. For decades biologists have wanted to know why humans, bacteria and other organisms evolved in a modular fashion. Like engineers, nature builds things modularly by building and combining distinct parts, but that does not explain how such modularity evolved in the first place. Renowned biologists Richard Dawkins, Günter P. Wagner, and the late Stephen Jay
Gould identified the question of modularity as central to the debate over "the evolution of complexity."
For years, the prevailing assumption was simply that modules evolved because entities that were modular could respond to change more quickly, and therefore had an adaptive advantage over their non-modular competitors. But that may not be enough to explain the origin of the phenomena.
The team discovered that evolution produces modules not because they produce more adaptable designs, but because modular designs have fewer and shorter network connections, which are costly to build and maintain. As it turned out, it was enough to include a "cost of wiring" to make evolution favor modular architectures.
Computers would assist humans far more effectively if they could reliably recognize patterns and make inferences about the world. Breakthrough A method of artificial intelligence that could be generalizable to many kinds of ...
Bionic Eyes: Bringing Artificial Vision into Focus. May 22, 2013 · by knowingneurons · in Brain Basics, Did you know?, Neuroscience Technologies, Sensation and perception. ·. Bionic-Eyes. An infographic courtesy of the team at Mezzmer.
May 24, 2013 — In a study that evaluated some of the latest in automatic facial recognition technology, researchers at Michigan State University were able to quickly identify one of the Boston Marathon bombing suspects from law enforcement video, an experiment that demonstrated the value of such technology.
In the Pattern Recognition and Image Processing laboratory, Anil Jain, MSU Distinguished Professor of computer science and engineering, and Josh Klontz, a research scientist, tested three different facial-recognition systems.
By using actual law-enforcement video from the bombing, they found that one of the three systems could provide a "rank one" identification -- a match -- of suspect Dzokhar Tsarnaev.
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