Abstract | ||
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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. |
Year | DOI | Venue |
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2011 | 10.1016/j.procs.2011.09.068 | Procedia Computer Science |
Keywords | Field | DocType |
Dynamic movement primitives,robot dynamics | Robot control,Computer vision,Robotic arm,Degrees of freedom (statistics),Computer science,Robot kinematics,Artificial intelligence,Robot | Journal |
Volume | ISSN | Citations |
7 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Naveen Kuppuswamy | 1 | 12 | 4.20 |
Cristiano Alessandro | 2 | 55 | 4.25 |