Make the LingBot-VA port runnable on both LIBERO and RoboTwin and clean up the
package to LeRobot conventions.
- Consolidate all vendored Wan2.2 model code (transformer, attention, VAE helpers,
flow-matching scheduler, grid utils, flex-attention) into a single
modeling_lingbot_va.py; remove the separate wan_*/schedulers modules.
- Move the fixed action (un)normalization quantiles out of the config and into the
post-processor (LIBERO 7-DoF + RoboTwin 16-d eef); remove the conversion script in
favour of ready-to-use LeRobot-format checkpoints on the Hub.
- Fixes found via on-sim validation: undo LIBERO's 180-degree image flip
(image_hflip), encode obs as a multi-frame streaming-VAE clip, reset the streaming
VAE cache between episodes, run the transformer in config.dtype, lazy-load frozen
VAE/UMT5 by subfolder with the text encoder on CPU.
- RoboTwin: add an end-effector-pose action mode to RoboTwinEnv (16-d per-arm
xyz+quat+gripper deltas composed onto the initial eef pose, executed via CuRobo IK)
and the robotwin_tshape latent layout (full-res head + half-res wrists via a second
streaming VAE) with the upstream RoboTwin action quantiles + camera mapping.
- Predicted-video saving works for both benchmarks; docs + tests updated.
Co-authored-by: Cursor <cursoragent@cursor.com>
pepijn223