NVIDIA IsaacTeleop tutorial shows how to build a retargeting engine in NumPy
MarkTechPost published a tutorial on NVIDIA IsaacTeleop’s retargeting engine, explaining how to turn XR hand and controller tracking into robot actions using a graph-based system. The article walks through building synthetic input data in NumPy, writing custom retargeters like a pinch detector, and composing them with built-in retargeters for gripper and SE(3) control. It demonstrates how to…
Key points
- The tutorial builds a retargeting engine using NumPy and TensorGroup types without hardware.
- It includes a custom pinch retargeter with live-tunable parameters and built-in gripper/SE(3) retargeters.
- The pipeline outputs an 8-D action vector and runs on Colab CPU, with state persistence via JSON.
Inside NVIDIA’s IsaacTeleop: From Hand and Controller Tracking to Robot Actions with the Graph-Based Retargeting Engine
MarkTechPost · 4 October 2026
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