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Deep Learning Helps Robots Grasp, Move Objects with Ease

By Berkeley News

December 1, 2020

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University of California, Berkeley (UC Berkeley) engineers have developed artificial intelligence software that integrates neural networks with motion-planning software to enable robots to assist humans in warehouse settings.

The software gives robots the speed and skill to grip and smoothly move objects.

The UC Berkeley researchers upgraded a Grasp-Optimized Motion Planner that can compute how a robot should grip an object and move to transfer it between locations. They added a deep learning neural network, accelerating the planner's computing time and eliminating jerky movements.

The combined neural network and motion planner shortened average computation time from 29 seconds to 80 milliseconds.

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