通过物理接触实现多机器人故障容错,提升受限环境下的协作效率。
Fault-Tolerant Multi-Robot Coordination with Limited Sensing within Confined Environments
- 利用物理接触感知与响应机制,动态调整行为应对故障机器人。
- 实验显示故障恢复时间显著缩短,任务性能下降不足10%。
- 适合在无通信、传感受限的极端环境中部署的机器人团队。
随着机器人在共享工作空间中协同完成任务,单个机器人故障会严重影响群体表现。尤其在缺乏全局信息或直接通信的情况下,系统依赖社交互动进行协调。本文提出一种新型容错技术,利用多机器人系统中的物理接触交互,针对传感受限和空间受限场景。引入“主动接触响应”(ACR)方法,使活跃机器人根据遇到故障机器人的概率调整行为;通过集体移动静止或故障机器人,减少障碍物,维持最优群体功能。我们在配备接触感知与抗碰撞能力的自主机器人团队上实现该算法,任务为共同挖掘一体式模型颗粒。实验表明,ACR方法显著缩短系统故障恢复时间,支持持续集体挖掘,性能下降小于10%。本研究证明了利用局部社交与物理交互可有效提升受限及极端环境下多机器人系统的容错性与协作能力。
原文摘要 · Abstract (English)
As robots are increasingly deployed to collaborate on tasks within shared workspaces and resources, the failure of an individual robot can critically affect the group's performance. This issue is particularly challenging when robots lack global information or direct communication, relying instead on social interaction for coordination and to complete their tasks. In this study, we propose a novel fault-tolerance technique leveraging physical contact interactions in multi-robot systems, specifically under conditions of limited sensing and spatial confinement. We introduce the "Active Contact Response" (ACR) method, where each robot modulates its behavior based on the likelihood of encountering an inoperative (faulty) robot. Active robots are capable of collectively repositioning stationary and faulty peers to reduce obstructions and maintain optimal group functionality. We implement our algorithm in a team of autonomous robots, equipped with contact-sensing and collision-tolerance capabilities, tasked with collectively excavating cohesive model pellets. Experimental results indicate that the ACR method significantly improves the system's recovery time from robot failures, enabling continued collective excavation with minimal performance degradation. Thus, this work demonstrates the potential of leveraging local, social, and physical interactions to enhance fault tolerance and coordination in multi-robot systems operating in constrained and extreme environments.
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