The use of AI in Traversable Unstructured Environments: A Review
DOI:
https://doi.org/10.17979/ja-cea.2025.46.12098Keywords:
Artificial Intelligence Techniques, Machine Learning, Perception and Sensing, Sensor Data Fusion, Autonomous Mobile Robots, Autonomous Vehicles, Robot navigationAbstract
Autonomous navigation of UGVs is a major challenge when performed in unstructured 3D environments. The irregular and highly dynamic conditions of these areas make it difficult to use conventional methods based on rules or manual models, being necessary a deep analysis of traversability. This paper presents an exhaustive review of the state of the art in AI techniques applied into this field. Different learning paradigms and progression of different architectures are analyzed, examining their advances, limitations and opportunities to achieve a robust autonomous navigation.
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Copyright (c) 2025 Alberto Jiménez Hormeño, Arturo de la Escalera Hueso, José Antonio Iglesias Martínez
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