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Impact of Body Parameters on Dynamic Movement Primitives for Robot Control
Author(s) -
Naveen Kuppuswamy,
Cristiano Alessandro
Publication year - 2011
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2011.09.068
Subject(s) - computer science , robot , movement (music) , process (computing) , dynamics (music) , work (physics) , artificial intelligence , simulation , human–computer interaction , mechanical engineering , philosophy , physics , acoustics , engineering , operating system , aesthetics
The problem of movement coordination in large DoF (Degree of Freedom) robots is complex due to redundancies. In this regard, Dynamic Movement Primitive (DMP) is a useful planning technique, inspired by biology, that can be used to store and reproduce trajectories about every DoF. This work is a preliminary study that aims to understand and quantify the influence of the robot dynamics upon the performance of DMP in a simulated 2DoF robot arm. The investigation demonstrates that the effect of the robot body dynamics needs to be taken into account during the learning process of the DMP

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