Autonomous Navigation and Collision Avoidance for Mobile Robots: Classification and Review
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914969130369024 |
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| author | de Carvalho, Marcus Vinicius Leal Simoni, Roberto Yoshioka, Leopoldo |
| author_facet | de Carvalho, Marcus Vinicius Leal Simoni, Roberto Yoshioka, Leopoldo |
| contents | This paper introduces a novel classification for Autonomous Mobile Robots (AMRs), into three phases and five steps, focusing on autonomous collision-free navigation. Additionally, it presents the main methods and widely accepted technologies for each phase of the proposed classification. The purpose of this classification is to facilitate understanding and establish connections between the independent input variables of the system (hardware, software) and autonomous navigation. By analyzing well-established technologies in terms of sensors and methods used for autonomous navigation, this paper aims to provide a foundation of knowledge that can be applied in future projects of mobile robots. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_07297 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Autonomous Navigation and Collision Avoidance for Mobile Robots: Classification and Review de Carvalho, Marcus Vinicius Leal Simoni, Roberto Yoshioka, Leopoldo Robotics Software Engineering 68T40 (Artificial Intelligence) I.2.9; I.2.7; I.2.10 This paper introduces a novel classification for Autonomous Mobile Robots (AMRs), into three phases and five steps, focusing on autonomous collision-free navigation. Additionally, it presents the main methods and widely accepted technologies for each phase of the proposed classification. The purpose of this classification is to facilitate understanding and establish connections between the independent input variables of the system (hardware, software) and autonomous navigation. By analyzing well-established technologies in terms of sensors and methods used for autonomous navigation, this paper aims to provide a foundation of knowledge that can be applied in future projects of mobile robots. |
| title | Autonomous Navigation and Collision Avoidance for Mobile Robots: Classification and Review |
| topic | Robotics Software Engineering 68T40 (Artificial Intelligence) I.2.9; I.2.7; I.2.10 |
| url | https://arxiv.org/abs/2410.07297 |