So I’ve always argued that Physical AI for robotics need actionable outputs like 3D coordinates, not bullet points or nice paragraphs. So decided to experiment by combining a VLM with Monocular Depth Estimation, essentially projecting 2D reasoning into 3D, I called it Odyseus - Spatial VLM Tech Stack:
- VLM: Qwen 3.6
- Depth Estimation: Depth Anything 3 - Metric Large Worked pretty well, figured to share, check repo: https://github.com/MercuriusTech/Odyseus-Spatial-VLM submitted by /u/L42ARO
Originally posted by u/L42ARO on r/ArtificialInteligence
You must log in or # to comment.