Influences of the robot group size on cooperative multi-robot localisation—Analysis and experimental validation
| Autor: | Frank E. Schneider, Dennis Wildermuth |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Computer science
business.industry Group (mathematics) General Mathematics media_common.quotation_subject Experimental validation Machine learning computer.software_genre Computer Science Applications Domain (software engineering) Control and Systems Engineering Position (vector) Robot Quality (business) Artificial intelligence business computer Software media_common |
| Zdroj: | Robotics and Autonomous Systems. 60:1421-1428 |
| ISSN: | 0921-8890 |
| DOI: | 10.1016/j.robot.2012.05.001 |
| Popis: | When looking at unmanned ground vehicles (UGVs), nowadays multi-robot systems are considered an adequate choice for a growing number of tasks. Many problems, which are sufficiently solved for single vehicles, have to be revised when transferred into the multi-robot domain. This paper deals with cooperative position estimation in terms of pure relative localisation, which is based only on mutual observations among the robots. In this case, the localisation is independent of any characteristics of the surrounding environment. Thus, it is an important and interesting question how the number of robots influences the quality of the resulting localisation. After a short description of the underlying localisation approach, the design of the experiments is discussed and justified in detail. Special care is taken to assess possibly influencing parameters and their effects on the collected data. The authors' expectation that more robots should improve the position estimation is motivated. Unfortunately, the experimental results only partially match the expectation. A detailed analysis of the collected data was carried out to provide reasons for this. |
| Databáze: | OpenAIRE |
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