Horst Spandl and Knut Pitschke. Lernen von MakroTrajektoren fur einen autonomen, mobilen Roboter. Kunstliche Intelligenz, 1:12--16, 1991. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Representing, Learning, and Executing Operational Concepts - Klingspor, Sklorz (Correct)
....are able to reach the goal if nothing unexpectable happens by a cyclic graph, and the system only re plans in unforeseeable situations. The graphs found by the first approach can be stored and used as macro operators in further situations, corresponding to the work on learning macro trajectories [18], but on a conceptual level. 5 Conclusion In this paper, we presented an approach to represent actions and to integrate them with perceptions to define operational concepts in a first order representation formalism. The represented concepts can be used as elements of speech for communicating with ....
Horst Spandl and Knut Pitschke. Lernen von MakroTrajektoren fur einen autonomen, mobilen Roboter. Kunstliche Intelligenz, 1:12--16, 1991.
Representing, Learning, and Executing Operational Concepts - Klingspor, Sklorz (Correct)
....are able to reach the goal if nothing unexpectable happens by a cyclic graph, and the system only re plans in unforeseeable situations. The graphs found by the first approach can be stored and used as macro operators in further situations, corresponding to the work on learning macro trajectories [17], but on a conceptual level. 5 Conclusion In this paper, we presented an approach to represent actions and to integrate them with perceptions to define operational concepts in a first order representation formalism. The represented concepts can be used as elements of speech for communicating with ....
Horst Spandl and Knut Pitschke. Lernen von MakroTrajektoren fur einen autonomen, mobilen Roboter. Kunstliche Intelligenz, 1:12--16, 1991.
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