Train a Pen-Spinning Policy with the Sharpa Dexterous Hand

The author says this Chinese prompt was provided to GPT-6 Astra to use Isaac Lab for reinforcement learning on the Sharpa dexterous hand, create a 3D mesh of the pen from scratch, and deliver the trained policy and a visualization video.

Prompt optimization tips

1

Specify editability

State which objects must remain separate, named and editable; otherwise a visually convincing shell may still be unusable.

2

Close the test loop

Ask the model to run the scene, inspect visible failures and repeat until concrete frame-rate, interaction and layout checks pass.

3

Stage long builds

For large worlds, split the work into districts, assemblies or milestones and approve each section before expanding scope.

Imagine It. Shape It.