Anis Naema Atiyah, Rafai and Noraziah, Adzhar and Nor Izzati, Jaini (2021) An overview: On path planning optimization criteria and mobile robot navigation. In: Journal of Physics: Conference Series, Simposium Kebangsaan Sains Matematik ke-28 (SKSM28) , 28-29 July 2021 , Kuantan, Pahang, Malaysia. pp. 1-11., 988 (012036). ISSN 1742-6588
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Abstract
Mobile robots are growing more significant from time to time and have been applied to many fields such as agriculture, space, and even human life. It could improve mobile robot navigation efficiency, ensure path planning safety and smoothness, minimize time execution, etc. The main focus of mobile robots is to have the most optimal functions. An intelligent mobile robot is required to travel autonomously in various environments, static and dynamic. This paper article presents the optimization criteria for mobile robot path planning to figure out the most optimal mobile robot criteria to fulfill, including modeling analysis, path planning and implementation. Path length and path smoothness are the most parameters used in optimization in mobile robot path planning. Based on path planning, the mobile robot navigation is divided into three categories: global navigation, local navigation and personal navigation. Then, we review each category and finally summarize the categories in a map and discuss the future research strategies.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Global navigation; Intelligent mobile robot; Local navigation; Mobile Robot Navigation; Optimization criteria; Personal navigation; Research strategy; Robot path-planning |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Center for Mathematical Science |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 26 Oct 2022 02:38 |
| Last Modified: | 26 Oct 2022 02:38 |
| URI: | http://umpir.ump.edu.my/id/eprint/35197 |
| Download Statistic: | View Download Statistics |
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