LATIDIA · Robótica

Transferencia de secuencias de acciones a través de LLM para entornos heterogéneos

arXiv: 2609.34730v1Tipo de anuncio: nuevo Resumen: Presentamos un sistema de transferencia de secuencias de acción que transfiere de forma adaptativa las secuencias de acción del usuario a través de diferentes espacios objetivo. Dada una secuencia de acción de entrada de una fuente

La noticia

arXiv:2609.34730v1 Announce Type: new Abstract: We present an action sequence transfer system that adaptively transfers user action sequences across different target spaces. Given an input action sequence from a source space and scene graph representations of both the source and target environments, our system predicts a corresponding action sequence in the target space by adapting to the spatial and object constraints of the new environment. To achieve this, we leverage multi-level representations of user activity to generalize actions at varying levels of abstraction. To demonstrate our system, we collect a new scene graph-based dataset derived from the Ego4D GoalStep dataset for evaluation. Results indicate that our system can generate valid