2024
PoSE: Suppressing Perceptual Noise in Embodied Agents for Enhanced Semantic Navigation
RA-L 2024
Embodied agents navigating unknown environments face the challenge of optimizing exploration based on semantic information. Conventional methods, reliant on collected data or pre-defined rules, have limitations in scalability and applicability, while pretrained language models based methods focusing