Simbe Robotics launches new retail robot
By Silicon Valley Robotics via Robohub: The area of service robotics is getting active, with a new retail robot startup launching today. Tally is one of several robotics startups launching today at Haxlr8r’s 7th Demo Day. Tally is an inventory tracking robot platform fromSimbe Robotics and the “world’s first robotic autonomous shelf auditing and analytics solution” according to the press release.
Tally is in trials with several North American retailers and will traverse aisles scanning and auditing merchandise to help stores maintain ideal product placement, fill inventory gaps, and find misplaced or mispriced items. Tally is also capable of autonomously returning to base to charge.
“When it comes to the retail industry, shopper experience is everything. If a product is unavailable at the time the shopper wants to buy it, the retailer has missed an opportunity and disappointed their customer,” according to Brad Bogolea, CEO and Co-founder of Simbe Robotics. “Tally helps retailers address these challenges by providing more precise and timely analysis of the state of in-store merchandise and freeing up staff to focus on customer service.” Cont'd...
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From Institute of Science and Technology Austria:
Robotic systems controlled by a neural network spontaneously develop self-organized behaviors. Researchers propose a novel learning rule in PNAS to explain the development of sensorimotor intelligence.
It is fascinating to observe a robot exploring its physical possibilities and surroundings, and subsequently developing different self-taught behaviors without any instructions. In their paper (DOI: 10.1073/pnas.1508400112) published on October, 26, 2015 in PNAS (Proceedings of the National Academy of Sciences), Professor Ralf Der from the Max Planck Institute for Mathematics in the Sciences, und Georg Martius, Postdoc and Fellow at the Institute for Science and Technology (IST Austria), demonstrate the emergence of sensorimotor intelligence in robots based on their proposed learning rule...
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FABTECH 2015 - Interview with Kristen Fairbrother, Marketing Communications Leader for DE-STA-CO
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Interactive Video Annotation Tool for Computer Vision Research
From University of California, Irvine:
VATIC is a free, online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets and can be deployed on a cloud. After three years of research, vatic is now used by labs around the world to annotate the next generation of data sets.
Features
Crowdsource video annotation to Mechanical Turk
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