Zhanibek Darush, Mikhail Martynov, A. Fedoseev, A. Shcherbak, D. Tsetserukou
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引用次数: 1
摘要
由于缺乏电力供应和无人机无法在凹凸不平的地面上着陆,无人机群的持续监测仍然是一个具有挑战性的问题。异构蜂群可以支持更长时间的检查,然而,它们的能力受到轮式和腿式机器人在混乱环境中的移动性的限制。在本文中,我们提出了一个新的概念swarm - gear用于自主检测。它利用一群异质的无人机,以领导-追随者的形式调查环境。领头的无人机能够降落在崎岖的地形上,并通过四个顺从的机器人爬行器穿越它,同时具有空中和移动机器人的功能。为了保证蜂群在运动过程中保持队形,在领头和跟随无人机之间建立了虚拟阻抗链路。实验结果表明,该系统具有较低的跨轨误差(2型步态的平均值为2.2 cm,最大误差为5.3 cm),并且能够以190 mm的步长移动。考虑了四种类型的无人机编队。采用最佳队形进行实验,结果表明,该队形整体交叉误差较低(1型步态平均3.9 cm, 2型步态平均3.3 cm)。
SwarmGear: Heterogeneous Swarm of Drones with Morphogenetic Leader Drone and Virtual Impedance Links for Multi-Agent Inspection
The continuous monitoring by drone swarms remains a challenging problem due to the lack of power supply and the inability of drones to land on uneven surfaces. Heterogeneous swarms can support longer inspections, however, their capabilities are limited by the mobility of wheeled and legged robots in a cluttered environment.In this paper, we propose a novel concept SwarmGear for autonomous inspection. It leverages a heterogeneous swarm of drones that investigates the environment in a leader-follower formation. The leader drone is able to land on rough terrain and traverse it by four compliant robotic pedipulators, possessing both the functionalities of an aerial and mobile robot. To preserve the formation of the swarm during its motion, virtual impedance links were developed between the leader and the follower drones.The experiments revealed low crosstrack error (mean value is of 2.2 cm and max one is of 5.3 cm with the Type 2 gait) and the ability of the leader drone to move with a 190 mm step length. Four types of drone formation were considered. The best formation was applied for experiments and showed low overall crosstrack error for the swarm (mean 3.9 cm for the Type 1 gait and 3.3 cm for the Type 2 gait).