robodhruv/visualnav-transformer

Health v2 · maintenance only

Adoption not part of the score

1294 stars · 200 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official code and pre-trained checkpoints for the GNM, ViNT, and NoMaD family of general-purpose goal-conditioned visual navigation policies for mobile robots. It includes training and fine-tuning scripts, dataset processing tools, and ROS-based deployment scripts for robots like TurtleBot2 and LoCoBot.

Use cases

• deploy a pretrained visual navigation policy on a mobile robot
• fine-tune a navigation foundation model on custom robot trajectory data
• convert rosbag demo trajectories into topological maps for navigation
• run zero-shot goal-directed navigation across different robot embodiments
• use NoMaD for autonomous exploration of an environment
• train goal-conditioned navigation models from images

When to choose

• you need a ready-to-deploy visual navigation policy for a ROS-supported mobile robot
• you want to fine-tune a cross-embodiment navigation foundation model on your own data
• you are doing research on generalist robot navigation policies

When to avoid

• you need navigation for autonomous cars or outdoor vehicles with GPS/HD maps
• your robot does not support ROS or camera-based control
• you need a production-grade navigation stack with SLAM and obstacle avoidance guarantees

Facets

library · maturity active

machine-learning deep-learning robotics computer-vision llm-training robotics machine-learning autonomous-vehicles computer-vision python visual-navigation foundation-model goal-conditioned-policy diffusion-policy ros turtlebot cross-embodiment pretrained-checkpoints linux gpu

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