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Source localization on multi-robot systems

Translated title
Quelllokalisierung mit Multi-Robotergruppen
Publication date
2024-01-31
Document type
PhD thesis (dissertation)
Author
Dorau, Marcus
Advisor
Horn, Joachim 
Referee
Scholl, Gerd 
Granting institution
Helmut-Schmidt-Universität/Universität der Bundeswehr Hamburg
Exam date
2023-11-17
Organisational unit
Regelungstechnik 
DOI
10.24405/15276
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/15276
Part of the university bibliography
✅
Files
 openHSU_15276.pdf (6.35 MB)
  • Additional Information
DDC Class
620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
629 Andere Fachrichtungen der Ingenieurwissenschaften
Keyword
Robotik
Robotics
Regelung
Control
Quelllokalisierung
Source localization
MATLAB
Mobile robots
Formation control
Autonomous navigation
Distributed control
LiDAR sensor
Unmanned aerial vehicles
Signal processing
Obstacle avoidance
Cooperative navigation
Mission planning and decision making
Multi-vehicle systems
Evolutionary algorithms
Robust control
Guidance, navigation and control
Abstract
Mobile robots have been utilized and have assisted humans for decades.
In recent years, even groups of robots have been used for specific tasks that require the control of each robot and the distribution of commands. Using groups of robots generally requires complex control structures to ensure the safety and performance of groups completing a mission. This work presents control structures for tasks such as source localization, formation control, position tracking, collision avoidance, and synthesis of an according controller. The stability of the system is examined. The mission objective of source localization and itsextension to global source localization is introduced and tackled using different algorithms. The work concludes with the implementation of a robot platform along with simulation and experimental results to show the performance of the presented methods. The main findings include the proposal of a synthesis problem for source localization with formation control, a methodology that allows the calculation of the maximum permitted delay in a multi-robot system, and implementation for source localization in an unknown indoor environment.
Version
Published version
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Open access

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