Isaac ROS Teleop#
Overview#
Isaac ROS Teleop contains a ROS 2 package for robot data collection.
isaac_ros_teleop relies on Isaac Teleop, a framework
for high-fidelity ego-centric and robot data collection. Isaac Teleop is designed to address the
data bottleneck in robot learning by streamlining device integration, allowing for high-fidelity human
demo data collection, and fosters device and data interoperability.
Currently, this repository is focused on using the use of XR headsets for gripper / tri-finger hand manipulation using the PICO 4 Ultra headset.
Quickstarts#
Packages#
Supported Platforms#
This package is designed and tested to be compatible with ROS 2 Jazzy running on Jetson or an x86_64 system with an NVIDIA GPU.
Platform |
Hardware |
Software |
Storage |
Notes |
|---|---|---|---|---|
Jetson |
128+ GB NVMe SSD |
For best performance, ensure that power settings are configured appropriately. |
||
x86_64 |
|
32+ GB disk space available |
Isaac ROS Environment#
To simplify development, we strongly recommend leveraging the Isaac ROS CLI by following these steps. This streamlines your development environment setup with the correct versions of dependencies on all supported platforms.
Note
All Isaac ROS Quickstarts, tutorials, and examples have been designed with the Isaac ROS CLI-managed environment as a prerequisite.
Customize your Dev Environment#
To customize your development environment, refer to this guide.
Updates#
Date |
Changes |
|---|---|
2026-04-30 |
Initial release of |