Jul 13, 2021 · We presents an optimization method that learns an infinite set of solutions in trajectory optimization. In our framework, diverse solutions are obtained by ...
Motion planning by learning the solution manifold in trajectory ...
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Jan 27, 2022 · In this study, we present a practical algorithm for capturing diverse solutions in motion planning. We first propose an optimization method that ...
We present an optimization method that learns an infinite set of solutions in trajectory optimization. In our framework, diverse solutions are obtained by ...
The learned decoder can be used as a motion planner in which the user can specify the goal position and the trajectory types by setting the latent variables.
Motion Planning by Learning the Solution Manifold in Trajectory Optimization. The objective function used in trajectory optimization is often non-convex and ...
The experimental results indicate that the solution manifold can be learned with the proposed algorithm, and the trained model represents an infinite set of ...
Duration: 2:52
Posted: Jul 13, 2021
Posted: Jul 13, 2021
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Jul 24, 2020 · We propose to learn the solution manifold in optimization. We train a model conditioned on the latent variable such that the model represents an infinite set ...
Missing: trajectory | Show results with:trajectory
Duration: 1:18:50
Posted: Oct 23, 2023
Posted: Oct 23, 2023
Missing: solution manifold
Neural Networks, Vol. 152, pp. 90-104, 2022. [ arXiv][ publisher website]; Motion Planning by Learning the Solution Manifold in Trajectory Optimization