LATIDIA · Robótica

Una encuesta de navegación y manipulación robóticas con simuladores de física en la era de la IA incorporada

arXiv: 2505.01458v3Tipo de anuncio: reemplazar Resumen: La navegación y la manipulación son capacidades centrales en la IA incorporada, pero capacitar a los agentes para que las realicen directamente en el mundo real es costoso, requiere mucho tiempo e inseguro.

La noticia

arXiv:2505.01458v3 Announce Type: replace Abstract: Navigation and manipulation are core capabilities in Embodied AI, but training agents to perform them directly in the real world is costly, time-consuming, and unsafe. Therefore, sim-to-real transfer has emerged as a key approach, yet the sim-to-real gap persists. This survey examines how physics simulators address this gap by analyzing properties that have received limited attention in prior surveys. We also analyze their features for navigation and manipulation tasks, as well as their hardware requirements. Additionally, we offer a resource with benchmark datasets, metrics, simulation platforms, and methods to help researchers select suitable tools while accounting for hardware constraints.