Online path planning of mobile robot using grasshopper algorithm in a dynamic and unknown environment
Yazarlar (2)
Dr. Öğr. Üyesi Zehra ELMI İstinye Üniversitesi, Türkiye
Prof. Dr. Mehmet Önder Efe Hacettepe Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Journal of Experimental and Theoretical Artificial Intelligence (Q2) | ||
| Dergi ISSN | 0952-813X Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 05-2021 |
| Kabul Tarihi | 30-04-2020 | Yayınlanma Tarihi | 18-05-2020 |
| Cilt / Sayı / Sayfa | 33 / 3 / 467–485 | DOI | 10.1080/0952813X.2020.1764631 |
| Makale Linki | https://doi.org/10.1080/0952813x.2020.1764631 | ||
| UAK Araştırma Alanları |
Yapay Zeka
Robotik
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| Özet |
| The navigation of mobile robots using heuristic algorithms is one of the important issues in computer and control sciences. Path planning and obstacle avoidance are current topics of navigational challenges for mobile robots. The major drawbacks of conventional methods are the inability to plan motion in a dynamic and unknown environment, failure in crowded and complex environments, and inability to predict the velocity vector of obstacles and non-optimality of the synthesised path. This paper presents a novel path planning approach using a grasshopper algorithm for navigation of a mobile robot in dynamic and unknown environments. To accomplish this goal, two different approaches are presented. First, a sensory system is used to detect the obstacles and then a new method is developed to predict and avoid static and dynamic obstacles while the velocity of obstacles is unknown. The robot uses the obtained … |
| Anahtar Kelimeler |
| dynamic environment | grasshopper optimisation algorithm | mobile robot navigation | obstacle avoidance | Path planning |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 23 |
| Google Scholar | 39 |