Saurbh Singh Jamwal

PerSeM is presented, a training-free persistent semantic memory framework for long-horizon open-vocabulary UAV mapping that associates frame-wise semantic observations with persistent world-space voxels and constructs a majority-based semantic memory which is conservatively refined through history-preserving spatial refinement, trust-aware replay, and context-guided verification.