Why a robot can’t yet outjump a flea

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Why a robot can’t yet outjump a flea. Duke Today, April 26, 2018. Smashing mantis shrimp. Snapping trap-jaw ants. Stinging jellyfish. Some of the fastest living things — at least over short distances — are also the smallest. A new mathematical model explores how the smallest and speediest things on Earth generate their powerful jumps, snaps, strikes and punches. The model could help explain why robots can’t hold a candle to the fastest-moving insects and other tiny-but-powerful creatures, and how they could get closer. Picked up by Scientific AmericanWired, Popular Mechanics, Quartz and Tech Times.

Helping robots learn to see in 3-D

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Helping robots learn to see in 3-D. July 14, 2017. While it’s relatively straightforward for robots to “see” objects with cameras and other sensors, interpreting what they see, from a single glimpse, is difficult. New technology enables robots to spot a new object and recognize what it is, whether it is right side up or upside down, without examining it from multiple angles. It can also fill in the blind spots in its field of vision and “imagine” any parts that are hidden from view. Picked up by NPR affiliate WFDD radio.