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Even though Google is selling Boston Dynamics, that doesn’t mean it’s getting out of the robot business. Just ask its room full of robotic arms. It’s about more than just making a good robot arm, though. It’s also about teaching a robotic arm tactile learning skills.
Essentially,
Google outfitted the arms with basic optical sensors and a neural
network, or artificial brain capable of learning. The robot was then
tasked with finding specific objects in a pile, and learning how best to
grasp them in order to move the object. This is easier said than done,
given that it’s a skill even humans gradually acquire. The researchers
said it’s essentially hand-eye coordination.
The
goal is a robot that could automate sorting tasks. This could be a bot
designed for warehouse work, or one that could sort through single
stream recycling to pick out glass bottles and aluminum cans from other
items in the bin. Regardless, granting machines spatial reasoning and
the ability to learn and adapt to objects could be a big boon going
forward, with bots able to adjust its grasp for as hard or as light as
the job necessitates.
Source: IEEE Spectrum
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