arXiv AI By Lukas Lao Beyer, Sertac Karaman

Motion Planning in Compressed Representation Spaces

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arXiv:2606. 30940v1 Announce Type: cross Abstract: Deep learning methods have vastly expanded the capabilities of motion planning in robotics applications, as learning priors from large-scale data has been shown to be essential in capturing the highly complex behavior required for solving tasks such as manipulation or navigation for autonomous vehicles.

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