SO-ARM100 is an open-source robot arm hardware project providing 3D-printable designs and assembly guides for building affordable robotic arms. It includes calibration software to synchronize motor communication parameters and arm positions via USB, alongside hardware designs for tactile sensing robotic grippers.
The project distinguishes itself through the integration of touch-sensing and flexible filaments for adaptive grasping. It also provides a dedicated imitation learning dataset tool, featuring a web interface for labeling and visualizing robotics data to train machine learning models using human demonstrations.
The system covers several operational areas, including low-cost robot fabrication, hardware configuration for motor IDs and baudrates, and a full imitation learning workflow. It also includes utilities for robot servo debugging, leader-follower teleoperation, and the creation of modular hardware accessories like camera mounts.