Evaluation of Search Strategy for Autonomous Rescue Mobile Robot
Küçük Resim Yok
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, six different search algorithm have been examined for use in decision-making of autonomous rescue robot. These algorithms are Left Wall Follow, Right Wall Follow, Breadth First Search, Depth First Search, A? and Greedy Best Search. Real-time data is collected by mobile robot for three different environments with these algorithms. Electronic circuits have been developed for the communication of the computer with the mobile robot. Also, the interface is designed for communication in the computer environment. The data collected includes; reach the target, the distance to reach the target, and the number of nodes traversed. Analysis conducted with real mobile robot, wall follow algorithm was found to be successful in unidirectional environments without switching between each other. However, in complex environments it was found to be unsuccessful. All other algorithms have been successfully reach the goal. However different distances traveled to reach the goal. This study was performed with a single mobile robot, heuristic greedy best search algorithm search and depth first search algorithm yielded successful results for different environments. © 2021 IEEE.
Açıklama
2021 International Conference Automatics and Informatics, ICAI 2021 -- 30 September 2021 through 2 October 2021 -- -- 175600
Anahtar Kelimeler
Maze Solver; Rescue Mobile Robot; Search Algorithm, Decision Making; Mobile Robots; Navigation; Breadth-First-Search; Decisions Makings; Depth First; Electronics Circuits; Maze Solv; Real-Time Data; Rescue Mobile Robot; Rescue Robot; Search Algorithms; Search Strategies; Learning Algorithms
Kaynak
International Conference Automatics and Informatics, ICAI 2021 Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
