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Gear Train Assembly

We will train two skills for the manipulator

  • Peg Insertion
  • Gear Meshing

Requirements

Setup

  1. Go to your IsaacLab directory source/isaaclab_tasks/isaaclab_tasks/manager_based
  2. Clone the repository https://github.com/bugartlan/HCR_Gear_Train_Assembly.git

Hardware

  • UR3e
  • Robotiq Hand-E

Training

  • Train on HCRL servers: Same command as how you run SO_101, except replacing the task name with
./ray.sh job --task Isaac-Assembly-PegInsert-Chamfer-v0
  • Run training without visualization (headless): Use --num_env 1 for faster startup for quick syntax checks.
python scripts/reinforcement_learning/rsl_rl/train.py --task Isaac-Assembly-PegInsert-v0 --headless
  • Run training with visualization for visual debugging.
python scripts/reinforcement_learning/rsl_rl/train.py --task Isaac-Assembly-PegInsert-v0 --num_env 1

Playing a Policy

  • Export and run the most recent trained policy:
python scripts/reinforcement_learning/rsl_rl/play.py --task Isaac-Assembly-PegInsert-v0 --num_env 1

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  • Python 97.6%
  • Shell 2.4%