feat(rollout): decouple policy deployment from data recording with new lerobot-rollout CLI (#3413)

* feat(scripts): lerobot-rollout

* fix(rollout) require dataset in dagger + use duration too

* fix(docs): dagger num_episodes

* test(rollout): fix expectations

* fix(rollout): features check

* fix(rollout): device and task propagation + feature pos + warn fps + move rename_map config

* docs(rollout): edit rename_map instructions

* chore(rollout): multiple minor improvements

* chore(rollout): address coments + minor improvements

* fix(rollout): enable default

* fix(tests): default value RTCConfig

* fix(rollout): robot_observation_processor and notify_observation at policy frequency instead of interpolator rate

Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>

* fix(rollout): prevent relativeactions with sync inference engine

Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>

* fix(rollout): rtc reanchor to non normalized state

Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>

* fix(rollout): fixing the episode length to use hwc (#3469)

also reducing default length to 5 minutes

* feat(rollout): go back to initial position is now a config

* fix(rollout): properly propagating video_files_size_in_mb to lerobot_dataset (#3470)

* chore(rollout): note about dagger correction stage

* chore(docs): update comments and docstring

* fix(test): move rtc relative out of rollout module

* fix(rollout): address the review comments

---------

Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>
Co-authored-by: Maxime Ellerbach <maxime.ellerbach@huggingface.co>

docs/source/unitree_g1.mdx

@@ -274,7 +274,8 @@ python src/lerobot/scripts/lerobot_train.py \
 Once trained, we recommend deploying policies using inference-time RTC:
 
 ```bash
-python examples/rtc/eval_with_real_robot.py \
+lerobot-rollout \
+  --strategy.type=base \
   --policy.path=your-username/your-repo-id \
   --policy.device=cuda \
   --robot.type=unitree_g1 \
@@ -284,7 +285,7 @@ python examples/rtc/eval_with_real_robot.py \
   --task="task_description" \
   --duration=1000 \
   --fps=30 \
-  --rtc.enabled=true
+  --inference.type=rtc
 ```
 
 ---