Learning robotic reactive behavior from human demonstration via dynamic behavior trees

cyvy 2018-11-01 Student Human To robots motion research group, University of Stuttgart (in collaboration with MPI-IS)

Investigation of a new method for robot learning from demonstration problems, which will model the human demonstrations using dynamic behavior trees. This new paradigm would allow a robot to reason not only in terms of task accomplishment, but also in terms of sensory motor couplings to implement behaviors at runtime; resulting in increase of the robustness of the robot

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