Name
Abstract | ||
|---|---|---|
Non-rigid physical elements attached to robotic systems introduce non-linear dynamics that requires innovative control approaches. This paper describes some of our results applying Q-Learning to learn the control commands to solve a hose transportation problem. The learning process is developed in a simulated environment. Computationally expensive but dynamically accurate Geometrically Exact Dynamic Splines (GEDS) have been used to model the hose to be transported by a single robot, showing the difficulties of controlling flexible elastic passive linking elements. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21222-2_55 | HAIS (2) |
Keywords | Field | DocType |
non-linear dynamic,flexible elastic passive,non-rigid physical element,robotic system,hose transportation problem,empirical study,elemental hose transport control,accurate geometrically exact dynamic,control command,single robot,simulated environment,innovative control approach | Spline (mathematics),Social robot,Computer science,Transportation theory,Control engineering,Artificial intelligence,Empirical research,Robotic systems,Simulation,Q-learning,Robot,Mobile robot,Machine learning | Conference |
Volume | ISSN | Citations |
6679 | 0302-9743 | 3 |
PageRank | References | Authors |
0.48 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Manuel Lopez-Guede | 1 | 22 | 3.25 |
| Borja Fernandez-Gauna | 2 | 49 | 4.89 |
| Manuel Graña | 3 | 1367 | 156.11 |
| Ekaitz Zulueta | 4 | 56 | 10.97 |