Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning
This is the checkpoint release of the ICRA'24 paper Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning.
This repo contains:
- Pretrained models (500 epochs):
./checkpoints/crossway_diffusion-<task>-s<seed>.ckpt
- SHA1 checksums:
./checkpoints/crossway_diffusion-<task>-s<seed>.ckpt.sha1
- Evaluation results (1000 episodes):
./checkpoints/crossway_diffusion-<task>-s<seed>.ckpt.json
Available tasks: can_mh
, can_ph
, lift_mh
, lift_ph
, square_mh
, square_ph
, transport_mh
, transport_ph
, tool_hang_ph
, pusht
Available seeds: 42
, 43
, 44
Please replace <task>
with a specific task name and replace <seed>
with 42
, 43
, or 44
to navigate the repo.
For example, the path of pretrained model for task Push-T trained on seed 42 is ./checkpoints/crossway_diffusion-pusht-s42.ckpt
For the training and evaluation code, please visit our github repo.
Watch 🎬 video presentation!
For questions, please raise a github issue.