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在ROS仓库系统中模拟和实施叉车模型
Kuo-Yang Tu1, Che-Ping Hung2, Hong-Yu Lin2
1Department of Electrical Engineering, National Kaohsiung University of Science and Technology, No. 1, University Road, Yanchao District, Kaohsiung City 82445, Taiwan.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
本研究介绍了机器人操作系统 (ROS) 的三轮叉车模型,以增强自动化仓库运营. 研发的ROS系统可提供准确的导航和控制,解决劳动力短缺问题.
科学领域:
- 机器人和自动化
- 仓库物流
- 智能交通系统
背景情况:
- 越来越多的劳动力短缺需要在仓库中提高产量.
- 自动化仓库是减少人类劳动力的关键研究领域.
- 在自动化仓库中,三轮叉车对于重货运输至关重要.
研究的目的:
- 开发一个与机器人操作系统 (ROS) 兼容的三轮叉车模型.
- 在自动化仓库环境中实现三轮叉车的自主导航和控制.
- 验证系统在实际仓库应用中的准确性.
主要方法:
- 为ROS集成构建了一个三轮叉车模型.
- 修改了现有的 ROS 软件模块以实现无叉车控制.
- 使用 Gazebo 模拟用于同时定位和映射 (SLAM) 和导航控制验证.
- 在实践中使用三轮叉车进行实验.
主要成果:
- 在ROS中成功开发和集成三轮叉车模型.
- 通过模拟和现实世界的测试证明了准确的自导导航和控制.
- 验证了该系统适用于高精度仓库应用.
结论:
- 开发的基于ROS的三轮叉车系统有效地解决了仓库自动化需求.
- 该系统为提高仓库效率和克服劳动力短缺提供了可行的解决方案.
- 进一步整合和测试可以提高其在复杂物流环境中的能力.
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