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Titel:

Learning quadrotor maneuvers from optimal control and generalizing in real-time

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Tomic, T.; Maier, M.; Haddadin, S.
Abstract:
In this paper, we present a method for learning and online generalization of maneuvers for quadrotor-type vehicles. The maneuvers are formulated as optimal control problems, which are solved using a general purpose optimal control solver. The solutions are then encoded and generalized with Dynamic Movement Primitives (DMPs). This allows for real-time generalization to new goals and in-flight modifications. An effective method for joining the generalized trajectories is implemented. We present th...     »
Stichworte:
autonomous aerial vehicles; error analysis; helicopters; learning systems; mobile robots; optimal control; telerobotics; DMP; UAV; dynamic movement primitives; error analysis; general purpose optimal control solver; in-flight modifications; online maneuver generalization; optimal control problems; perching maneuvers; planar point-to-point maneuvers; quadrotor maneuver learning; quadrotor-type vehicles; real-time generalization; unmanned aerial vehicles; Acceleration; Damping; Force; Optimal cont...     »
Kongress- / Buchtitel:
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Jahr:
2014
Monat:
May
Seiten:
1747-1754
Volltext / DOI:
doi:10.1109/ICRA.2014.6907087
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