leggedrobotics / wild_visual_navigation
Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Implementation of the full WVN system in pure Python
- Quick start demos for online training in simulation, as well as scripts for inference using pre-trained models
- Robot integration packages for ANYmal and Jackal robots using ROS 1
Get started
mkdir ~/.venv
python -m venv ~/venv/wvn
source ~/venv/wvn/bin/activate You need: ROS 1 Noetic; CUDA-enabled GPU; CUDA drivers (we use 12.0)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 331
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 97% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 96% closed
- 7 still open
- Pull requests
- 98 merged
- 2 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 97%
- Shell 1%
- CMake 1%
- Dockerfile 1%
Topics
- computer-vision
- legged-robots
- machine-learning
- navigation
- online-learning
- robot-navigation
- robotics
- self-supervised-learning
- traversability-estimation
- field-robotics
- traversability
Project record
- JobOther AI tools
- StatusListed
- Commits729
- Forks29
- Watching7
- Stars in 28 days+9
- CreatedJun 3, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026