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Trajectory representation using sequenced linear dynamical systems
2004
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
In this paper we present a novel approach for representing trajectories using sequenced linear dynamical systems. This method uses a closed-form least-squares procedure to fit a single Linear Dynamical System (LDS) to a simple trajectory. These LDS estimates form the elemental building blocks used to describe complicated trajectories through an automatic segmentation procedure that can represent complicated trajectories with high accuracy. Each estimated LDS induces a control law, mapping
doi:10.1109/robot.2004.1308881
dblp:conf/icra/DixonK04a
fatcat:v2ftghxc2zhn5gx5sgn4xaioae