# Reproducing Deep Reinforcement Learning Control for In-Hand Object Reorientation with the Revo3 Dexterous Hand

- Source: Guyuehome
- Published: 2026-11-03T11:04:00.000Z
- RoboHot: https://robohot.news/en/items/pwsm1r6iewabq5ne7122pny3t
- Original: https://www.guyuehome.com/detail?id=2106417646342795266

## Summary

This article reproduces three official pretrained policies for the Revo3 dexterous hand in Isaac Lab for in-hand object reorientation control. The cube random-target reorientation runs 8 times per episode, while the cylinder uses a 22.5° incremental chain, advancing once every 3.4 steps.