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| 基于机器学习的机械臂实验系统设计 |
| Design of Robot Arm Experiment System Based on Machine Learning |
| 投稿时间：2026-03-26 修订日期：2026-06-30 |
| DOI： |
| 关键词: 实验教学 机器学习 机械臂 |
| Key Words:experiment teaching machine learning robotic arm |
| 基金项目:上海交通大学决策咨询课题(JCZXSJB2024-04)；教育部产学合作协同育人项目(231106392240818)； |
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| 摘要:针对电类基础实验课程AI元素挖掘不足的现状，在确保教学目标的前提下，文章基于国产LoongArch微控制器设计了融合机器学习的机械臂实验系统。实验系统实现了基于KNN算法的手势识别、远程指令传输及本地动作执行。通过设置梯度化教学项目，引导学生关注前沿技术，激发AI学习兴趣，强化工程实践与科技创新能力。 |
| Abstract:To address the insufficient integration of Artificial Intelligence (AI) in basic electrical experimental courses, this paper designs a robotic arm experimental system incorporating machine learning based on domestic LoongArch microcontrollers while maintaining core curriculum objectives. The system integrates KNN-based gesture recognition, remote command transmission, and local execution. By implementing graded teaching projects, it guides students to focus on cutting-edge technologies, stimulates interest in AI applications, and enhances their engineering practice and technological innovation capabilities. |
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