Uploaded September 2026 | Updated September 2026, 2 weeks ago

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Learn how to get started with Physical AI by training a real robotic arm using Hugging Face LeRobot, imitation learning and the ACT policy. In this complete LeRobot tutorial, we configure the Seeed Studio SO-ARM101, collect 150 human demonstrations, train the AI model on an NVIDIA Jetson Orin NX and test the robot on a tomato-and-potato sorting task.

Full tutorial: circuitdigest.com/tutorial/physical-ai-robot-arm-lerobot-tutorial

Check out the SO-ARM101 Robotic Arm
- seeedstudio.com/SO-ARM-101-Assembled-Kit-Pro-p-6691.html?sensecap_affiliate=PaCEfQw&referring_service=link
Use the promotional code KGYFKTZT to get $15 OFF

Check out reComputer J4012
- seeedstudio.com/reComputer-J4012-p-5586.html?sensecap_affiliate=PaCEfQw&referring_service=link
use the promotional code 90QQKB6Q to get 2% OFF.

This project was created by CircuitDigest in collaboration with @SeeedStudioSZ .

Subscribe to CircuitDigest for more practical projects covering robotics, physical AI, embedded systems and edge AI.

Timestamps

00:00 Can this robot learn to sort objects?
00:22 Building a physical AI robotic arm
00:44 SO-ARM101 and reComputer J4012
01:57 Why we selected the SO-ARM101
02:34 Unboxing the robotic arm
02:53 Hardware and smart servo motors
03:51 Understanding Hugging Face LeRobot
04:45 Connecting the hardware
05:06 Assigning servo motor IDs
05:55 Calibrating the robotic arm
06:19 Leader–follower teleoperation
06:46 Collecting human demonstrations
07:10 Recording and replaying movements
07:35 Why our laptop couldn’t train the model
08:34 Moving to Jetson Orin NX
09:12 Tomato and potato sorting experiment
09:32 Recording 150 demonstrations
10:22 Training the ACT policy
11:23 Testing the trained robot
11:50 Potato sorting test
12:12 Sorting both objects together
13:20 Final results and conclusion

#PhysicalAI #Robotics #LeRobot #RobotArm #JetsonOrin #CircuitDigest

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