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拉斯:用于集体机器人互动的光增强现实系统

Mohsen Raoufi^1,2, Pawel Romanczuk^1,3, Heiko Hamann^1,4

¹Science of Intelligence, Research Cluster of Excellence, 10587 Berlin, Germany.

Sensors (Basel, Switzerland)

|September 13, 2025

概括

我们开发了光增强现实系统 (LARS),这是一个集体机器人技术的可访问工具. 拉斯增强机器人机器人和机器人人与人的互动,用于教育和公众参与.

科学领域:

机器人技术机器人技术机器人技术
人与计算机的交互
教育技术技术教育技术

背景情况:

集体机器人系统为教育和公众参与提供了巨大的潜力.
一个关键的障碍是缺乏可访问的工具来可视化这些系统中复杂的,体现的交互.

研究的目的:

引入光增强现实系统 (LARS),这是一个开源,无标记,跨平台的工具,用于集体机器人研究,教育和宣传.
通过污名化实现间接机器人机器人通信,同时保持物理和传感限制.
通过使隐藏的信息变得可见,改善机器人与人类的互动.

主要方法:

LARS使用扩展现实 (XR) 来将动态视觉对象投射到物理环境中.
该系统的设计是低成本,易于部署,独立于平台,不需要硬件修改.
可见信息的实时投影有助于进行可重现的实验.

主要成果:

拉斯有效地弥合了抽象的集体动态和可观察的行为之间的差距.
该系统增强了研究人员和公众对多机器人交互的理解.
作为研究工具和集体机器人参与平台的证明实用性.

结论:

拉斯提供了一个可访问和灵活的平台,用于说明复杂的集体机器人行为.
该系统促进了实践学习,并扩大了公众对集体体现智能的理解.
拉斯是促进集体机器人研究,教育和宣传的宝贵工具.

关键词:

增强现实 (AR) 是一种增强现实.扩展现实 (XR)混合现实 (MR) 是一种混合现实.集体机器人技术集体机器人教育机器人教育教育机器人教育人与机器人的互动多机器人系统是多机器人系统.开源的机器人机器人技术群众机器人工程群众机器人工程

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