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, Preiswerk, Pascal, Tedrake, Russell L
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: SAGE Publications 2020
Online Access:https://hdl.handle.net/1721.1/124352