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Ayaulym Parmash

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Open access Jul 2026

A Hierarchical VLM-to-TD3 Framework with Novel Object Coordinate Estimation and Persistent Spatial Memory for Semantically Guided Indoor Navigation

This work presents a lightweight hierarchical two-stage framework that is introduced for the first time to integrate a locally deployed vision–language model (VLM), semantic object coordinate memory, and a TD3-based DRL controller for language-conditioned indoor navigation.

Yernar Akhmetbek, Ayaulym Parmash, Temirlan Meiramkhanov et al. · 0 citations

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