RawVLA-Bench
RawVLA: Embodied Neural Image Signal Processor For Robotic Manipulation - RawVLA-Bench
RawVLA-Bench RawVLA-Bench is a paired training-trajectory dataset for studying RAW-domain visual frontends for vision-language-action (VLA) policies.
How to run
$ npm i -g lettokenburn-cli$ ltb bench info rawvla-bench
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
4 sourced entriesEvery number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Reproduced by the community
All runsAbout
RawVLA-Bench
RawVLA-Bench is a paired training-trajectory dataset for studying RAW-domain visual frontends for vision-language-action (VLA) policies. It is derived from successful expert trajectories in LIBERO and RoboTwin 2.0. Each trajectory has a RAW input version captured or rendered under a sampled lighting condition and a paired default-light RGB target. The pair shares the same trajectory identity, actions, robot states, frame count, and relative path. Failed trajectories…