Revisión del uso de IA en Entornos No Estructurados Transitables
DOI:
https://doi.org/10.17979/ja-cea.2025.46.12098Palabras clave:
Técnicas de inteligencia artificial, Aprendizaje automático, Percepción y sensorización, Robots móviles autónomos, Vehículos autónomos, Fusión de datos sensoriales, Navegación robóticaResumen
La navegación autónoma de UGVs supone un gran desafío cuando se efectúa en entornos 3D no estructurados. Las condiciones irregulares y áltamente dinámicas de estas áreas dificulta el uso de métodos convencionales basados en reglas o modelos manuales, siendo necesario un análisis profundo de la transitabilidad. Este trabajo presenta una revisión exhaustiva del estado del arte sobre las técnicas de IA aplicadas en este campo. Se analizan los diferentes paradigmas de aprendizaje y la evolución de diferentes arquitecturas, examinando sus avances, limitaciones y oportunidades para lograr una navegación autónoma robusta.
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Derechos de autor 2025 Alberto Jiménez Hormeño, Arturo de la Escalera Hueso, José Antonio Iglesias Martínez
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
