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- W2885668544 abstract "A robot control system contains a lowlevel motion planner and a high level task planner. The motions are generated with keyframe to keyframe planning while the the tasks are described with primitive action-names. A good starting point to formalize task planning is a mindmap which is created manually for a motion capture recording. It contains the basic actions in natural language and is the blueprint for a formal ontology. The mocap annotations are extended by features into a dataset, which is used for training a neural network. The resulting modal is a qualitative physics engine, which predicts future states of the system." @default.
- W2885668544 created "2018-08-22" @default.
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- W2885668544 date "2018-08-01" @default.
- W2885668544 modified "2023-09-28" @default.
- W2885668544 title "High-Level Task Planning in Robotics with Symbolic Model Checking" @default.
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- W2885668544 hasPublicationYear "2018" @default.
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