Name
Title | ||
|---|---|---|
Passivity Based Iterative Learning Of Admittance-Coupled Dynamic Movement Primitives For Interaction With Changing Environments |
Abstract | ||
|---|---|---|
Encoding desired motions into dynamic movement primitives (DMPs) is a common way for generating compact task representations that are able to handle sensor-based goal adaptations. At the same time, a robot should not only express adaptive motion capabilities at planning level, but use also contact wrench feedback in the adaptation and learning process of the DMP. Despite first approaches exist in this direction, no fully integrated approach has been proposed so far. In this paper, we introduce a new class of admittance-coupled DMPs that addresses environmental changes by including contact wrench feedback dynamics into the DMP formalism. Moreover, a novel iterative learning approach is devised that is based on monitoring the overall system passivity analysis in terms of reference power tracking. Simulations and experimental results with the Kuka LWR robot maintaining a non-rigid contact with the environment (wiping a surface) are shown for supporting the validity of our approach. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IROS.2018.8593647 | 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) |
Field | DocType | ISSN |
Passivity,Task analysis,Computer science,Control engineering,Wrench,Iterative learning control,Robot,Haptic technology,Trajectory,Encoding (memory) | Conference | 2153-0858 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aljaz Kramberger | 1 | 24 | 5.70 |
| Erfan Shahriari | 2 | 0 | 2.37 |
| Andrej Gams | 3 | 385 | 29.54 |
| Bojan Nemec | 4 | 345 | 30.28 |
| Ales Ude | 5 | 898 | 85.11 |
| Sami Haddadin | 6 | 535 | 48.64 |