Name
Abstract | ||
|---|---|---|
Autonomous trajectory generation through generalization requires a database of motion, which can be difficult and time consuming to obtain. In this paper, we propose a method for autonomous expansion of a database for the generation of compliant and accurate motion, achieved through the framework of compliant movement primitives (CMPs). These combine task-specific kinematic and corresponding feed-... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TRO.2018.2861921 | IEEE Transactions on Robotics |
Keywords | Field | DocType |
Task analysis,Trajectory,Kinematics,Learning systems,Robot sensing systems | Parameterized complexity,Torque,Kinematics,Task analysis,Control engineering,Artificial intelligence,Sensorimotor learning,Robot,Trajectory,Mathematics | Journal |
Volume | Issue | ISSN |
34 | 6 | 1552-3098 |
Citations | PageRank | References |
1 | 0.35 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadej Petric | 1 | 178 | 20.60 |
| Andrej Gams | 2 | 385 | 29.54 |
| Luca Colasanto | 3 | 28 | 2.31 |
| Auke Jan Ijspeert | 4 | 3546 | 282.93 |
| Ales Ude | 5 | 898 | 85.11 |