基于被动耦合机构的地形穿越可重构机器人群

IF 4.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Sha Yi, Shashwat Singh, Allison Seo, Ryan St. Pierre, Katia Sycara, Zeynep Temel
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引用次数: 0

摘要

在生物群体中,行军蚁和蜜蜂已经证明了形成协作任务功能结构的能力。通过机器人群实现类似的功能需要在机器人之间使用电、磁或机械手段形成连接。我们的研究介绍了配备被动耦合机制的puzzlebots -机器人群,使集体行为成为可能。这些机构利用每个机器人的个人机动性和灵活性来实现复杂的装配。通过结合在一起,PuzzleBots可以形成刚性和柔性结构,从而显著提高它们在具有挑战性的地形中导航的能力。刚性结构提供高承载和运输能力,而柔性结构提供符合环境几何形状。我们证明了这些组装结构可以使用我们的分布式模型预测控制框架进行精确控制。研究结果表明,与单个机器人相比,机器人群体中的被动耦合显著提高了机器人在粗糙和不连续地形上的穿越能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconfigurable robot swarms for terrain traversal with passive coupling mechanisms

In biological swarms, army ants and bees have demonstrated the ability to form functional structures for collaborative tasks. Achieving similar functionality with robot swarms requires forming connections between robots using electrical, magnetic, or mechanical means. Our research introduces the PuzzleBots–robot swarms equipped with passive coupling mechanisms that enable collective behavior. These mechanisms leverage the individual mobility and dexterity of each robot to achieve complex assemblies. By coupling together, PuzzleBots can form both rigid and flexible structures that significantly enhance their ability to navigate challenging terrains. Rigid structures offer high load-bearing and transportation capabilities, while flexible structures provide compliance with environmental geometries. We demonstrated that these assembled structures can be precisely controlled using our distributed Model Predictive Control framework. Our results show that passive coupling in robot swarms significantly improves the traversal capability on rough and discontinuous terrains compared with individual robots.

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来源期刊
Autonomous Robots
Autonomous Robots 工程技术-机器人学
CiteScore
7.90
自引率
5.70%
发文量
46
审稿时长
3 months
期刊介绍: Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: control of autonomous robots · real-time vision · autonomous wheeled and tracked vehicles · legged vehicles · computational architectures for autonomous systems · distributed architectures for learning, control and adaptation · studies of autonomous robot systems · sensor fusion · theory of autonomous systems · terrain mapping and recognition · self-calibration and self-repair for robots · self-reproducing intelligent structures · genetic algorithms as models for robot development. The focus is on the ability to move and be self-sufficient, not on whether the system is an imitation of biology. Of course, biological models for robotic systems are of major interest to the journal since living systems are prototypes for autonomous behavior.
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