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Benchmarking de LLMs para Navegación Robótica con Lenguaje Natural en ROS 2 con Conciencia de Latencia
Murat Das1, Zawar Hussain1,2, Muhammad Nawaz1,3
1Sydney Polytechnic Institute, Sydney, NSW 2000, Australia.
Sensors (Basel, Switzerland)
|January 28, 2026
Resumen
Este estudio presenta un nuevo marco para la navegación robótica con lenguaje natural utilizando Modelos de Lenguaje Grandes (LLMs) y Robot Operating System 2 (ROS 2). Evalúa LLMs y planificadores, revelando compensaciones entre la velocidad de respuesta y la precisión de la navegación.
Palabras clave:
Navegación 2 (Nav2)ROS 2interacción humano-robotmodelos de lenguaje grandesbenchmarking de latenciaplanificadores localesinterfaces de lenguaje naturalnavegación robóticaMás Videos Relacionados
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