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Adapting to Robotic Grasping Challenges using Neural Networks

Dull, dirty dangerous and dextrous describe the four D’s of industrial robotics, pinpointing the sorts of tasks that robotic automation should take over from human laborers, freeing them up for more value-added tasks. However, even the most boring tasks performed by workers often involve the type of hand-eye coordination and basic problem solving we humans take for granted.
For example, picking objects from a jumbled bin, catching moving objects, or identifying deformed or randomly orien…



Source URL: Adapting to Robotic Grasping Challenges using Neural Networks

Source Website: Advance Engineering – Engineering.com
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