NVIDIA-accelerated teleoperation solutions for robot data collection.
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.
Please visit the Isaac ROS Documentation to learn how to use this repository.
Update 2026-04-30: Initial release of isaac_ros_teleop