Sandris Dubovs V L Nav Neka Info

Proven to navigate successfully across different floors and transitions (e.g., using elevators or stairs) in complex building layouts. 3. Performance Summary (Good for Validation)

Uses a CVL (Curiosity-driven Vision-Language) score to prioritize exploring unknown areas that align with human descriptions. Sandris Dubovs V L Nav Neka

You can find the full technical details on arXiv: VL-Nav . Proven to navigate successfully across different floors and

For related open-source frameworks, check repositories like oobvlm on GitHub. You can find the full technical details on arXiv: VL-Nav

is an advanced robotic navigation framework that combines neural reasoning (the "brain") with symbolic guidance (the "logic") to help robots navigate complex environments. Unlike traditional methods that might lead to aimless wandering, VL-Nav uses a NeSy (Neuro-Symbolic) Task Planner and an Exploration System to understand abstract human instructions. Useful Text Blocks 1. The "Problem & Solution" Pitch (Good for Intros)