Image-based Keyboard Keycap Assembly Robot

This competition project developed a vision-guided robotic keycap assembly system for the R-BIZ ZERO Mission Challenge. The system used a ZEUS industrial robot, an overhead vision camera, and a suction-based end-effector to recognize keycap positions and assemble keyboard keycaps under the mission constraints.

The project connected camera-based object localization, robot motion planning, end-effector operation, and task-sequence control. The final system reached the national final round and was later organized as a domestic conference poster on image-based keyboard keycap assembly.

• Built the vision-guided workflow for detecting keyboard keycap positions from camera images.
• Implemented robot motion sequences for pick-and-place keycap assembly using a ZEUS industrial manipulator.
• Integrated a low-cost suction-based end-effector with the assembly routine and tested task repeatability.
• Analyzed practical limitations caused by illumination changes, vision robustness, suction reliability, and assembly speed.
• Participated in the R-BIZ ZERO Mission Challenge final round and received First Prize at the 2022 Mechatronics Engineering Capstone Design Fair & Exhibition.