STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience

Haresh Karnan*1, Elvin Yang1, Daniel Farkash2, Garrett Warnell1, Joydeep Biswas1, Peter Stone1,3

1The University of Texas at Austin, 2Cornell University, 3Sony AI

Project Page | arXiV | Summary Video


Training representations using STERLING

To launch the training script for STERLING:

python train.py --data_config_path spot_data/test.yaml

Note : The code release only contains the training script for STERLING. The ROS node to process rosbags from the spot for the offline pre-processing step will be released shortly!.