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I would like to propose the implementation of a terrain curriculum function that supports more accurate movement distance estimation and command resampling during episodes.
Motivation
I am working on addressing the issue of insufficient terrain level progression by implementing a more accurate method for measuring actor movement distance. (There have also been excellent suggestions in the discussion here)
However, implementing a function that requires managing time-series data is a challenging task for someone new to IsaacLab. Additionally, I believe the existing terrain_levels_vel does not account for command updates during an episode.
Since proper terrain level updates significantly impact policy performance, I kindly request consideration for implementing this new terrain curriculum function!
Checklist
I have checked that there is no similar issue in the repo (required)