Name
Abstract | ||
|---|---|---|
High-precision trajectory tracking is fundamental in robotic manipulation. While industrial robots address this through stiffness and high-performance hardware, compliant and cost-effective robots require advanced control to achieve accurate position tracking. In this letter, we present a model-based control approach, which makes use of data gathered during operation to improve the model of the ro... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LRA.2019.2929987 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Manipulators,Predictive control,Service robots,Gaussian processes,Adaptive systems,Learning systems | Robot control,Data modeling,Extended Kalman filter,Robotic arm,Control theory,Model predictive control,Feedback linearization,Control engineering,Inverse dynamics,Engineering,Robot | Journal |
Volume | Issue | ISSN |
4 | 4 | 2377-3766 |
Citations | PageRank | References |
3 | 0.39 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carron, A. | 1 | 28 | 4.97 |
| Elena Arcari | 2 | 3 | 0.39 |
| Martin Wermelinger | 3 | 6 | 3.13 |
| Lukas Hewing | 4 | 25 | 4.27 |
| Marco Hutter | 5 | 59 | 8.36 |
| Melanie Nicole Zeilinger | 6 | 298 | 30.91 |