Name
Abstract | ||
|---|---|---|
Robot Programming by Demonstration (PbD) has been dealt with in the literature as a promising way to teach robots new skills
in an intuitive way. In this paper we describe our current work in the field toward the implementation of PbD system which
allows robots to learn continuously from human observation, build generalized representations of human demonstration and apply
such representations to new situations. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s13218-010-0060-0 | KI |
Keywords | Field | DocType |
Symbolic Information, Virtual Finger, Imitation Learning, Manipulation Strategy, Motor Primitive | Computer science,Simulation,Artificial intelligence,Robot,Imitation learning,Robot programming | Journal |
Volume | Issue | ISSN |
24 | 4 | 1610-1987 |
Citations | PageRank | References |
11 | 0.76 | 32 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rüdiger Dillmann | 1 | 172 | 12.78 |
| tamim asfour | 2 | 1889 | 151.86 |
| Martin Do | 3 | 128 | 8.24 |
| Rainer Jäkel | 4 | 63 | 5.99 |
| Alexander Kasper | 5 | 90 | 4.67 |
| pedram azad | 6 | 418 | 25.86 |
| Ales Ude | 7 | 898 | 85.11 |
| Sven R. Schmidt-Rohr | 8 | 103 | 8.80 |
| Martin Lösch | 9 | 82 | 6.35 |