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Found 2 papers, 1 papers with code
Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network
We propose a generative adversarial network approach to learn the distribution of valid robot configurations under such constraints.
A memory of motion for visual predictive control tasks
This paper addresses the problem of efficiently achieving visual predictive control tasks.
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