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Art der Veröffentlichung: Artikel in Konferenzband
Autor: Felix Wenk, Thomas Röfer
Herausgeber: Sven Behnke, Manuela Veloso, Arnoud Visser, Rong Xiong
Titel: Online Generated Kick Motions for the NAO Balanced Using Inverse Dynamics
Buch / Sammlungs-Titel: RoboCup 2013: Robot Soccer World Cup XVII
Band: 8371
Seite(n): 25 – 36
Serie / Reihe: Lecture Notes in Artificial Intelligence
Erscheinungsjahr: 2014
Verleger: Springer, Heidelberg
Abstract / Kurzbeschreibung: One of the major tasks of playing soccer is kicking the ball. Executing such complex motions is often solved by interpolating key-frames of the entire motion or by using predefined trajectories of the limbs of the soccer robot. In this paper we present a method to generate the trajectory of the kick foot online and to move the rest of the robot's body such that it is dynamically balanced. To estimate the balance of the robot, its Zero-Moment Point (ZMP) is calculated from its movement using the solution of the Inverse Dynamics. To move the ZMP, we use either a Linear Quadratic Regulator on the local linearization of the ZMP or the Cart-Table Preview Controller and compare their performances.
PDF Version: http://www.informatik.uni-bremen.de/kogrob/papers/RC-Wenk-Roefer-14.pdf
Anmerkung / Hinweis: Best Paper Award for its engineering contribution
Status: Reviewed
Letzte Aktualisierung: 10. 09. 2014

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