Feedback-motion-planning with simulation-based LQR-trees

The paper presents the simulation-based variant of the LQR-tree feedback-motion-planning approach. The algorithm generates a control policy that stabilizes a nonlinear dynamic system from a bounded set of initial conditions to a goal. This policy is represented by a tree of feedback-stabilized traje...

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Bibliographic Details
Main Authors: Reist, Philipp (Author), Preiswerk, Pascal (Author), Tedrake, Russell L (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: SAGE Publications, 2020-03-26T13:56:13Z.
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