Dynamic and mathematical modeling of wheeled ground robots for navigating rough terrain: development, simulation, and real-world validation

Авторы

  • Al-Khafaji Israa M. Abdalameer MIREA – Russian Technological University, Al-Mustansiriyah University Автор
  • Panov Aleksandr Vladimirovich MIREA – Russian Technological University Автор

DOI:

https://doi.org/10.5281/zenodo.14018542

Ключевые слова:

dynamic model, mathematical model, wheeled ground robots, rough terrain, navigation, pathfinding algorithms, A* algorithm, simulation, real-world testing, obstacle avoidance

Лицензия

Метаданные этой статьи распространяются под лицензией CC BY 4.0

Аннотация

 

This article presents the development and validation of dynamic and mathematical models for wheeled ground robots navigating rough terrain, integrating simulations and real-world testing. Key findings demonstrate enhanced path accuracy, obstacle avoidance, and stability across various challenging environments.

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Загрузки

Опубликован

01.10.2024

Выпуск

Раздел

Информационные технологии и телекоммуникации

Как цитировать

[1]
2024. Dynamic and mathematical modeling of wheeled ground robots for navigating rough terrain: development, simulation, and real-world validation. Вестник Донецкого университета. Серия 04. Технические науки. 3 (Oct. 2024), 35–44. DOI:https://doi.org/10.5281/zenodo.14018542.