Name
Abstract | ||
|---|---|---|
Multicopters are robotic systems with a remarkable degree of freedom and applicability. A significant limitation of all mobile robotic vehicles is the restricted on-board energy storage capacity and consequential limited operation time. Uninterrupted mission execution of multicopter swarms thus requires to predict energy depletion and plan maintenance and replacement processes accordingly. This paper presents and discusses challenges of a realistic prediction model for battery energy consumption. To cope with the inherent uncertainty we are interested not only in the expected values, but also safety margins. The paper discusses common expectations first and presents a solution idea for the underlying key issue.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3150928.3150964 | VALUETOOLS 2017: 11th EAI International Conference on Performance Evaluation Methodologies and Tools
Venice
Italy
December, 2017 |
Field | DocType | ISBN |
Energy storage,Robotic systems,Degrees of freedom (statistics),Computer science,Battery energy,Energy consumption,Reliability engineering,Distributed computing | Conference | 978-1-4503-6346-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Dietrich | 1 | 0 | 1.01 |
| Silvia Krug | 2 | 13 | 4.80 |
| Thomas Hotz | 3 | 3 | 1.85 |
| Armin Zimmermann | 4 | 7 | 3.97 |