Cost-Effective Robotic Handwriting System with AI Integration
This incremental work addresses the need for accessible personalized handwriting technologies for educational, research, and assistive applications.
This paper tackled the problem of replicating human-like handwriting by developing a cost-effective robotic system, achieving a hardware cost of approximately $56, handwriting precision within ±0.3 mm, and a writing speed of about 200 mm/min.
This paper introduces a cost-effective robotic handwriting system designed to replicate human-like handwriting with high precision. Combining a Raspberry Pi Pico microcontroller, 3D-printed components, and a machine learning-based handwriting generation model implemented via TensorFlow, the system converts user-supplied text into realistic stroke trajectories. By leveraging lightweight 3D-printed materials and efficient mechanical designs, the system achieves a total hardware cost of approximately \$56, significantly undercutting commercial alternatives. Experimental evaluations demonstrate handwriting precision within $\pm$0.3 millimeters and a writing speed of approximately 200 mm/min, positioning the system as a viable solution for educational, research, and assistive applications. This study seeks to lower the barriers to personalized handwriting technologies, making them accessible to a broader audience.