GNM
The original General Navigation Model for cross-robot transfer
GNM was one of the first navigation models to prove that a single trained model can drive completely different robot bodies to the same goal. It opened the door to everything that came after — including ViNT and NoMaD.
Tiny, fast, and runs anywhere. If you're building your first mobile robot and want a navigation model, start here. It even runs on a Raspberry Pi.
Goal-conditioned visual navigation policy trained on diverse cross-embodiment data. The predecessor to ViNT — controls various robots zero-shot and enables efficient fine-tuning.
Cross-embodiment navigation dataset (multiple robot platforms)
Starter model for a mobile robot project
Historical baseline for navigation benchmarks
Basic goal-image navigation in structured environments
Anyone with a computer can run this
RELATED DISCUSSIONS
Community →Seeded and planned prompts — not live forum activity yet.
- Community signalIntermediate / AdvancedHow should EAR track open robotics models?
Meta-discussion on ontology, benchmarks, and graph links for open-weight VLAs and manipulation models.
- Community signalIntermediate / AdvancedOpenVLA in the field — what breaks first?
Open Models room prompt linked to openvla-7b — inference, fine-tuning, and sim-to-real gaps. Seeded prompt only.