PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making
Researchers have developed PSG-Nav, a novel approach to open-vocabulary navigation for embodied agents that addresses perception uncertainty. The system constructs a 3D Probabilistic Scene Graph to represent semantic ambiguities and model errors. It employs Multiverse Decision making to sample likely world states and evaluate navigation landmarks based on their compatibility with these sampled states. An Evidential Experience Calibrator is also introduced for online adaptation to mitigate false positives. AI
IMPACT This research advances embodied AI by improving navigation in uncertain environments, potentially leading to more robust robotic systems.