Sandris Dubovs V L Nav Neka 【Recent - EDITION】

For related open-source frameworks, check repositories like oobvlm on GitHub.

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) Sandris Dubovs V L Nav Neka

You can find the full technical details on arXiv: VL-Nav . Performance Summary (Good for Validation) You can find

Uses a CVL (Curiosity-driven Vision-Language) score to prioritize exploring unknown areas that align with human descriptions. is an advanced robotic navigation framework that combines

View demonstrations on robots like the Unitree G1 and Go2 at the SAIR Lab Project Page .

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)