PlatROB:一个开源,模块化,低成本的硬件平台,用于移动机器人和人工智能教育
Jose Balbuena1, Julio Sinche1, Diego Quiroz1
1Department of Engineering, Pontificia Universidad Católica del Perú, Av. Universitaria 1801, San Miguel, 15088 Lima, Peru.
HardwareX
|February 18, 2026
概括
PlatROB是一个负担得起的,开源的教育机器人平台,可以实现人工智能和机器人的实践学习. 这种模块化系统具有3D打印组件和ROS / ROS2兼容性,可以明显提高学生在高级自主项目中的学习成果.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 教育技术的教育技术.
背景情况:
- 实践机器人和人工智能教育需要可访问的,集成的系统.
- 现有的平台可能很昂贵,并且缺乏适合不同学习需求的模块化.
- 弥合理论知识和实际应用之间的差距对于技能发展至关重要.
研究的目的:
- 介绍PlatROB,一个开源,低成本,模块化的教育机器人平台.
- 通过系统集成,促进机器人和人工智能的实践学习.
- 启用先进的机器人项目,如SLAM,感知和自主导航.
主要方法:
- 设计了四个可3D打印的模块:阿克曼驱动模块 (ADM),全向/差异驱动模块 (ODM/DDM),控制和处理模块 (CPM) 与NVIDIA Jetson Nano,以及4-DoF关节操纵模块 (AMM).
- 通过DB9连接器使用标准化的I2C通信来实现模块间连接.
- 集成组件包括Arduino微控制器,电机驱动器,编码器,IMU和超声波传感器.
主要成果:
- 模块成本从129美元到341美元不等,提供了一个低成本的解决方案.
- 经验证的性能:ADM支持10公斤的有效载荷,转半径25厘米,120分钟的自主性 (3公斤负载);CPM运行40-100分钟.
- 对于入门操作任务,AMM可以处理450g的有效载荷.
- 160多名学习者的成功部署显示了显著的学习收益 (p < 0.05).
结论:
- PlatROB有效地降低了机器人和人工智能的体验式学习障碍.
- 开源的模块化设计支持在资源有限的环境中进行复制.
- 该平台能够实现各种项目,从远程操作到复杂的自主导航,促进重要的技能发展.
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