New control technique could improve accuracy of industrial robots

The brains of humans and other animals often practice feedforward control, as they are very good at whole-system modeling. But for machines, such modeling is computationally hard. However, researchers with Huazhong University of Science and Technology and the University of California at Berkeley have developed a new feedforward method that improves on conventional feedforward techniques.

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