Abstract
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 this http URL, 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.
Abstract (translated)
这篇论文介绍了一种成本效益高的机器人书写系统，旨在以高精度复制类似人类的笔迹。该系统结合了Raspberry Pi Pico微控制器、3D打印部件以及通过此链接（请将“this http URL”替换为实际链接）实现的基于机器学习的手写生成模型，能够将用户提供的文本转换成逼真的笔画轨迹。利用轻量级3D打印材料和高效的机械设计，该系统实现了约56美元的总硬件成本，显著低于商用替代品的价格。实验评估表明，系统的书写精度在±0.3毫米范围内，并且书写速度约为每分钟200毫米，使其成为教育、研究及辅助应用的一个可行解决方案。本研究旨在降低个性化手写技术的门槛，让更广泛的受众能够使用这些技术。
URL
https://arxiv.org/abs/2501.06783
