OpenArm 101
From unboxing to first motion in under 2 hours. Full setup path, ROS2 integration, and AI model training guides.
Your Setup Journey
Follow these steps after unboxing your OpenArm. Takes about 4–5 hours total.
Unboxing & Safety Check
Verify contents, inspect joints, set up workspace
Software Environment
Install Ubuntu dependencies, SocketCAN, ROS2
First Motion
Run fake hardware mode, then real hardware
Calibration & Homing
Set joint zeros, verify workspace
Teleoperation
Connect operator device, record first session
Data Collection
RLDS/LeRobot format, quality checks
AI Model Training
Fine-tune ACT/Diffusion Policy, deploy
Hardware at a Glance
Compatible AI Models
OpenArm 101 is purpose-built for policy learning. These models work out of the box with your recorded data.
ACT
Action Chunking Transformer — best for pick-and-place tasks. Predicts action sequences from camera observations.
View model →Diffusion Policy
Best for contact-rich manipulation. Generates smooth trajectories using denoising diffusion over action space.
View model →OpenVLA
Best for language-conditioned tasks. Combines vision-language understanding with robot action prediction.
View model →Technical Guides
Detailed research articles covering every layer of the OpenArm stack.