Name
Abstract | ||
|---|---|---|
With the ambition to introduce robots into assembly lines, not suitable for classical automation, the ease of robot programming is becoming more significant then ever. This paper proposes using various approaches for gaining knowledge from human demonstrations. This knowledge is applied to perform assembly tasks in a industrial robotic cell. Real industrial use case is used for evaluation of proposed approaches. It shows their viability and presents different scenarios which call for different approaches of learning and execution of assembly tasks and its subsets. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-19648-6_40 | ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS |
Keywords | DocType | Volume |
Learning by demonstration,Motion generation,Reconfigurable robotics,Industry 4.0 | Conference | 980 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Timotej Gaspar | 1 | 0 | 0.34 |
| Miha Denisa | 2 | 4 | 2.26 |
| Ales Ude | 3 | 898 | 85.11 |