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A new algorithm for indoor robot localization using the Turning function | ||
| Computational Methods for Differential Equations | ||
| مقاله 15، دوره 13، شماره 4، دی 2025، صفحه 1279-1288 اصل مقاله (453.64 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22034/cmde.2024.64173.2895 | ||
| نویسندگان | ||
| Pardis Sadatian Moghaddam* 1؛ Ali Vaziri2؛ Anita Ershadi Oskouei2 | ||
| 1Department of Computer Science, Georgia State University, Atlanta, Georgia. | ||
| 2Department of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA. | ||
| چکیده | ||
| One of the complex challenges in the field of artificial intelligence and robotics is enabling robots to accurately determine their position. While this task is simpler in open spaces using antennas, satellites, and other tools, it becomes much more challenging in enclosed environments. Various methods are employed for indoor positioning, one of which involves low-cost rangefinders and polygon mapping around the robot. This paper presents a new algorithm entitled RLuTF using turning functions and their geometric properties, allowing the robot to determine its position at any given moment. | ||
| کلیدواژهها | ||
| Indoor positioning؛ Turning functions؛ Robot localization | ||
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آمار تعداد مشاهده مقاله: 381 تعداد دریافت فایل اصل مقاله: 274 |
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