用56美元成本实现高精度仿真人写字的机器人系统
Cost-Effective Robotic Handwriting System with AI Integration
- 用树莓派微型控制器+3D打印件+TensorFlow模型生成笔迹
- 笔迹误差在0.3毫米内，书写速度达200毫米/分钟
- 适合教育、科研及辅助技术场景，低成本易复现
本文提出一种低成本机器人手写系统，可高精度模拟人类笔迹。系统采用树莓派Pico微控制器、3D打印部件和基于TensorFlow的机器学习手写生成模型，将用户输入文本转换为逼真的笔画轨迹。通过轻量化3D打印材料与高效机械设计，整体硬件成本约56美元，远低于商用方案。实验表明，系统笔迹精度在±0.3毫米以内，书写速度约为200毫米/分钟，适用于教育、研究及辅助应用。该研究旨在降低个性化手写技术门槛，让更多人可获取。
原文摘要 · Abstract (English)
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.
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