ArmPi FPV ROS Robot Arm powered by Raspberry Pi Overview ArmPi FPV is an open source robot arm built on Robot Operating System and powered by Raspberry Pi. It combines performance intelligent servos and an AI camera to deliver vision enabled gripping and programmable automation using Python. The system includes source code for inverse kinematics and DH modeling to support learning, , and advanced robotics projects. Key benefits Vision guided manipulation: An HD wide angle camera mounted on the arm provides real time First Person View transmission at 100W pixels and enables image processing with OpenCV for color, tag, and human face recognition. This turns visual input into practical actions such as sorting or tracking. Precise motion and gripping: Built in inverse kinematics algorithms allow accurate target tracking and reliable gripping. Source code and detailed algorithm analysis are provided for study and . Flexible control and integration: Control the arm from mobile devices, a wireless handle, mouse, PC software, or through Robot Operating System. Programmable in Python for rapid prototyping and integration with other software or hardware. Open source, educational, and extensible: Complete access to code and kinematic models makes ArmPi FPV suitable for teaching, research, and hobby development. Features and specifications Platform: Robot Operating System based, powered by Raspberry Pi for onboard computing and integration. Camera: HD wide angle AI camera mounted at the end of the arm for FPV and vision tasks. Real time FPV transmission at 100W pixels and compatible with OpenCV processing. Motion system: performance intelligent servos for smooth and repeatable movement. Algorithms: Inverse kinematics included with DH model information and source code for the IK function. Programming and control: Python programmable. Multiple control methods supported, including WonderPi app for iOS and Android, wireless handle, mouse, PC software, and Robot Operating System. Use case adaptability: Suitable for prototyping, education, automation experiments, and human machine interaction demonstrations. Practical applications Automated color sorting and small object pick and place for classroom labs or light manufacturing demonstrations, using vision recognition to identify and sort items by color or tag. Target tracking and interactive projects, where the arm follows a visual target or responds to human faces detected by the AI camera for demonstrations or research on human robot interaction. Robotics education and algorithm development, using included inverse kinematics source code and DH model to teach kinematics, control, and computer vision with hands on experiments. Why choose ArmPi FPV ArmPi FPV offers a compact, programmable platform that combines vision, precise motion control, and open source software. It is designed for users who need a flexible development platform for robotics learning, AI vision experiments, and custom automation tasks, with ready access to the algorithms and code needed to extend or adapt the system.