Abstract
The classical optimal path following problem considers the problem of moving optimally along a predefined
geometric path under technological restrictions. In contrast to optimal path following, optimal tube following
allows deviations from the initial path within a predefined tube to reduce cost even more. The present paper
proposes a modern approach that treats this non-convex problem in task space. This novel method also provides a simple way to derive optimal trajectories within a tube described in terms of polygonal lines. Numerical
examples are presented that allow to compare the proposed method to existing joint space approaches.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics |
| Editors | Oleg Gusikhin, Dimitri Peaucelle and Kurosh Madani |
| Pages | 327-334 |
| Number of pages | 8 |
| Volume | 2 |
| ISBN (Electronic) | 9789897581984 |
| DOIs | |
| Publication status | Published - Jul 2016 |
Fields of science
- 203015 Mechatronics
- 203022 Technical mechanics
- 202 Electrical Engineering, Electronics, Information Engineering
- 202035 Robotics
- 203013 Mechanical engineering
JKU Focus areas
- Mechatronics and Information Processing