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Video course · 15 chapters · 75 min · certificate

Train a No-Code AI Robotic Arm with LeRobot and SO-101

Brogan M. Pratt walks through assembling an SO-101 arm, installing Hugging Face LeRobot, recording teleoperation data, and training an ACT model. The chapters cover hardware setup, dataset creation, training, and testing the arm on a pick-and-place task.

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What you'll learn

  • Assemble an SO-101 robotic arm and set up a training environment
  • Install LeRobot and calibrate leader and follower arms
  • Record teleoperation episodes to create a visual dataset
  • Train an ACT model on Hugging Face with no local GPU required
  • Evaluate model checkpoints and avoid overfitting
  • Run inference and test the arm on a pick-and-place task

Chapters

15 chapters · 75:22
  1. 4:22 01Overview Members Intro What the course covers and what you will build.
  2. 6:46 02Hardware setup Members Parts Needed / Arm Assembly / Required Computer Specs / Ideal Training Environment Assemble the arm, check computer specs, and prepare the training space.
  3. 4:12 03Software install Members Installing LeLab Install LeRobot and its dependencies on your computer.
  4. 5:38 04Calibration Members LeLab Interface / USB Port Identification / Arm & Joint Calibration Use the LeRobot interface to identify USB ports and calibrate joints.
  5. 2:51 05Teleoperation Members TeleOperation Test Move the leader arm and watch the follower copy your movements.
  6. 5:18 06Camera setup Members Camera Setup Connect and configure cameras so the arm and object are visible.
  7. 5:10 07Model concept Members ACT Model Explained Understand how the ACT model learns from chunked action sequences.
  8. 4:24 08Dataset setup Members Creating a Data Set / Hugging Face Login Local Authorization Create a Hugging Face dataset and log in locally.
  9. 6:12 09Test dataset Members Create a Test Data Set Record a short test episode to verify the data pipeline.
  10. 3:59 10Verification Members Data Set Verification / LeLab vs LeRobot Check the uploaded dataset and understand the difference between LeLab and LeRobot.
  11. 6:43 11Real dataset Members Data Set Best Practices / Real Data Set Creation / Training an ACT Model Record a full dataset with varied positions and start training.
  12. 3:48 12Loss Members Understanding Training Data / Understanding "Loss" Understand how loss measures the difference between predicted and actual joint positions.
  13. 4:04 13Overfitting Members Understanding "OverFitting" / Training Data Pt 2 Learn what overfitting is and how to avoid it.
  14. 5:45 14Inference Members Running Your Model Pt 1 / Running A Fully Trained Model Run a trained checkpoint and watch the arm attempt the task.
  15. 6:10 15Testing Members Testing Your Model Test the trained model on the pick-and-place task and evaluate results.