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Titel:

Neural network position and orientation control of an inverted pendulum on wheels

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Dengler, C.; Lohmann, B.
Abstract:
In this contribution, we develop a feedback controller for a wheeled inverted pendulum in the form of a neural network that is not only stabilizing the unstable system, but also allows the wheeled robot to drive to arbitrary positions within a certain radius and take a desired orientation, without the need to compute a feasible trajectory to the desired position online. While some techniques from the reinforcement learning community can be used to optimize the parameters of a general feed...     »
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
International Conference on Advanced Robotics (19´th.)
Datum der Konferenz:
2-6.12.2019
Jahr:
2019
Quartal:
4. Quartal
Jahr / Monat:
2019-12
Monat:
Dec
Reviewed:
ja
Sprache:
en
TUM Einrichtung:
Lehrstuhl für Regelungstechnik
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