diff --git a/docs/source/user_guide/data_collection/teleoperation.md b/docs/source/user_guide/data_collection/teleoperation.md
index 4f7353b89..e4a3297b2 100644
--- a/docs/source/user_guide/data_collection/teleoperation.md
+++ b/docs/source/user_guide/data_collection/teleoperation.md
@@ -14,18 +14,22 @@ Limitations: Limited to only solving less dynamical tasks with two-finger grippe
 
 To start the system you can specify an environment id with `-e` and run
 ```bash
-python -m mani_skill2.examples.interactive_teleop.py -e "PickCube-v1"
+python -m mani_skill2.examples.teleoperation.interactive_panda -e "StackCube-v1" 
 ```
 
+<video preload="auto" controls="True" width="100%">
+<source src="/_static/videos/teleop-stackcube-demo.mp4" type="video/mp4">
+</video>
+
 You can then drag the end-effector of the robot arm around to any position and rotation and press "n" on the keyboard to generate a trajectory to that place (done via motion planning). Each time the system will also print the current info about whether the task is solved or not.
 
 You can press "g" to toggle the gripper to be closing or opening.
 
 To finish collecting one trajectory and to move on to another, simply press "c" which will save the last trajectory.
 
-To stop data collection press "q" to quit.
+To stop data collection press "q" to quit. This will then save the trajectory data to your `demos/teleop/<env_id>` folder. In addition it will generate videos of your demos after and put them in the same folder, you can stop this by pressing CTRL+C to stop the script.
 
-You can always press "h" to bring up a help menu describing the keyboard commands
+You can always press "h" to bring up a help menu describing the keyboard commands.
 
 <!-- TODO (stao): discuss checkpointing method, help button -->