Task Scheduling Algorithms for Multi-Carrying Robots
In recent years, problem of task scheduling and allocation of resources has become the subject of many research. The interest of this issue, due to the necessity develop a perfect model, which properly mapped the many of logistical environment. Optimal appoint the path of robots, and also allocate t...
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| Vydané v: | Advances in Manufacturing Engineering II Ročník 237; s. 1 |
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| Hlavní autori: | , , , |
| Médium: | Kapitola Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Zurich
Trans Tech Publications
2015
Trans Tech Publications Ltd |
| Predmet: | |
| ISBN: | 9783038355403, 3038355402 |
| ISSN: | 1012-0394, 1662-9779, 1662-9779 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | In recent years, problem of task scheduling and allocation of resources has become the subject of many research. The interest of this issue, due to the necessity develop a perfect model, which properly mapped the many of logistical environment. Optimal appoint the path of robots, and also allocate the respective tasks and their order, is the key to solve this problem. For this purpose, was developed the virtual environment, which mapping the activities, taken in this area. Transport these resources is performed in real-time. The task is called by the transport of resources, performed by the robot, between the place of start point to point of distribution. Distribution point is called by the place for downloading and putting the resources by customers. In this article, presents the algorithms relates to aspects of the management of work and planning of task for robots. The results shows the times of the tasks, as well as the times of services the customers, via uses the different algorithms of working robot, and also the amount of consumed the energy, during the performed tasks. |
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| Bibliografia: | Special topic volume with invited peer reviewed papers only. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISBN: | 9783038355403 3038355402 |
| ISSN: | 1012-0394 1662-9779 1662-9779 |
| DOI: | 10.4028/www.scientific.net/SSP.237.189 |