diff --git a/docs/source/processors_robots_teleop.mdx b/docs/source/processors_robots_teleop.mdx
index cf8b8e040..785c5ff3f 100644
--- a/docs/source/processors_robots_teleop.mdx
+++ b/docs/source/processors_robots_teleop.mdx
@@ -8,7 +8,7 @@ We use the Phone to SO‑100 follower examples for concreteness, but the same pa
 
 - Absolute vs. relative EE control: What each means, trade‑offs, and how to choose for your task.
 - Three-pipeline pattern: How to map teleop actions → dataset actions → robot commands, and robot observations → dataset observations.
-- Adapters (`to_transition` / `to_output`): How these comvert raw dicts to `EnvTransition` and back to reduce boilerplate.
+- Adapters (`to_transition` / `to_output`): How these convert raw dicts to `EnvTransition` and back to reduce boilerplate.
 - Dataset feature contracts: How steps declare features via `transform_features(...)`, and how to aggregate/merge them for recording.
 - Choosing a representation: When to store joints, absolute EE poses, or relative EE deltas—and how that affects training.
 - Pipeline customization guidance: How to swap robots/URDFs safely and tune bounds, step sizes, and options like IK initialization.