多层机器人控制器,用于提高移动机器人导航在以人为中心的室内环境中的安全性
Karameldeen Omer1,2, Andrea Monteriù1
1Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
Frontiers in robotics and AI
|August 18, 2025
概括
这项研究介绍了一种具有成本效益的多层导航系统,用于室内机器人与人共享空间. 它通过整合人类输入和动态虚拟障碍来提高安全性,减少对复杂传感器的依赖.
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
- 人与机器人的交互
背景情况:
- 室内移动机器人需要先进的导航系统,以便与人类一起安全操作.
- 现有的系统往往严重依赖复杂的传感器和计算资源,增加成本和限制适应性.
- 在共享的人机器人环境中确保安全和效率是一个关键的挑战.
研究的目的:
- 为室内移动机器人开发一种新的多层导航系统,用于在易受伤害的个人附近操作.
- 通过尽量减少对复杂的传感器技术和计算能力的依赖,提高机器人安全性并降低运营成本.
- 为以人为中心的室内环境创建一种可适应和高效的导航解决方案.
主要方法:
- 一个三层控制方法:"在线"与人-in-the-loop障碍物检测",半在线"使用动态虚拟障碍,和"离线"利用建筑信息模型 (BIM) 语义环境理解.
- "在线"层通过用户界面使用人类输入来检测危险并实时更新导航路径.
- "离线"层利用BIM作为数字双胞胎,将语义和几何数据结合起来,用于智能路径规划和行为控制,绕过了广泛的实时传感器映射.
主要成果:
- 拟议的系统通过结合人类监督和动态环境意识,有效地提高了弱势个体的安全.
- 减少对复杂传感器和计算资源的依赖,可以大大节省成本,提高系统效率.
- 多层方法提供了可适应的导航策略,使机器人能够在各种室内环境中安全有效地运行.
结论:
- 开发的多层导航系统为人类共享空间中的室内移动机器人提供了强大,可适应和经济高效的解决方案.
- 整合人类在循环中的策略,动态虚拟障碍和语义环境理解 (BIM) 显著提高了安全性和运营效率.
- 这项研究为室内环境中更复杂,更安全的人机协作铺平了道路.
关键词:
自主导航自主导航自主导航建筑信息模型 (BIM) 是一种建筑信息模型.在循环中的人类.多层机器人控制器多层机器人控制器机器人安全机器人安全机器人安全机器人数字双胞胎是什么意思语义映射是一个语义映射.虚拟的障碍是虚拟的障碍更多相关视频
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