Trajectory clustering for motion prediction

We investigate a data-driven approach to robotic path planning and analyze its performance in the context of interception tasks. Trajectories of moving objects often contain repeated patterns of motion, and learning those patterns can yield interception paths that succeed more often. We therefore pr...

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Bibliographic Details
Main Authors: Sung, Cynthia, Feldman, Dan, Rus, Daniela
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/137185