Smithsonian Snaps Up Nine Historic Robots from Sandia National Labs

The Smithsonian’s permanent collection now includes tiny robots, robots that jump, and an autonomous robot from 1985, all courtesy Sandia Labs

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Smithsonian Snaps Up Nine Historic Robots from Sandia National Labs

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While thinking about robotics as a still-emerging field, as we do, we don’t often stop to consider how even the relatively recent past has a significant historical relevance. Fortunately, this is the job of the Smithsonian Institution, and they seem to be very proactive about it, having just acquired nine robots from Sandia National Labs for their permanent collection.

The robots in the above picture include MARV (Miniature Autonomous Robotic Vehicle), a design from 1996 that used mostly commercial parts and measured only about one inch square [about 6.5 square centimeters]. MARV was one of the first robots to really tackle miniaturization head on, and it inspired all kinds of tiny little descendants, including Sandia’s own dime-sized tank.

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Also heading to the Smithsonian are SIR, a robot that could navigate through a building autonomously in 1985 (on the left), Dixie, a reconnaissance robot from 1987 (at the back), and some of those crazy hopping robots.

It’s fun to think about what robots that we have around us right now are likely to find a place in the Smithsonian’s collection within a decade or two... After five seconds of thought (which means I’m missing all kinds of slightly less obviously but equally worthy choices), I’d have to put my money on a Roomba, PR2, Keepon, a Predator, and Wall-E. What do you think?

Via [ Sandia ]

The Conversation (0)
Image of a combine harvester within a wheat field, harvesting.

Russia is the world's largest wheat exporter, with 20 percent of the world's wheat trade. Combine harvesters that can drive themselves using technology from Russian company Cognitive Pilot are helping to make the harvesting process faster and more efficient.

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The field of automated precision agriculture is based on one concept—autonomous driving technologies that guide vehicles through GPS navigation. Fifteen years ago, when high-accuracy GPS became available for civilian use, farmers thought things would be simple: Put a GPS receiver station at the edge of the field, configure a route for a tractor or a combine harvester, and off you go, dear robot!

Practice has shown, however, that this kind of carefree field cultivation is inefficient and dangerous. It works only in ideal fields, which are almost never encountered in real life. If there's a log or a rock in the field, or a couple of village paramours dozing in the rye under the sun, the tractor will run right over them. And not all countries have reliable satellite coverage—in agricultural markets like Kazakhstan, coverage can be unstable. This is why, if you want safe and efficient farming, you need to equip your vehicle with sensors and an artificial intelligence that can see and understand its surroundings instead of blindly following GPS navigation instructions.

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