群机器人通常是探索恶劣环境和搜索和救援操作的首选。本研究探讨了影响自主机器人群运动策略的因素及其对野外群分布的影响,采用基于仿真的分析。
本研究由两部分组成:最初,机器人作为被动实体经历自由落体,其次是一个
阶段,他们采用预定义的移动策略从他们的下降位置。本研究旨在研究初始位置和相关参数如何影响运动特性和最终群体分布。为了实现这一目标,四个参数-半径,高度,质量,并确定了
恢复系数,每个都分配了三个不同的值。这项研究观察到
这些参数对机器人运动的影响,考虑随机行走等运动策略,
LevyWalk,马尔可夫过程,和布朗运动。结果表明,增加的参数值
引起的位置值的变化的自由落体在第一部分,这是第二部分的初始位置,以不同的方式影响运动策略。关于机器人的径向和角度扩展,对结果进行了
分析。径向扩散测量群元素从其初始位置扩散的距离,而角度扩展表示机器人根据极角分布的均匀性。该研究全面调查了自主机器人群的运动策略如何受到参数的影响,以及这些效应如何在结果中体现。这些发现预计将提高
自主机器人群在探索任务中的有效利用。
关键词:SwarmRobotics,自主机器人,随机漫步,LevyWalk,布朗运动,马尔可夫
过程。
Swarm robots are frequently preferred for the exploration of harsh environments and search and rescue operations. This study explores the factors that influence the movement strategies of autonomous robot swarms and their impact on swarm distribution in the field, employing simulation-based analysis. The research consists of two parts: initially, robots undergo free-fall as passive entities, followed by a phase where they employ predefined movement strategies from their fall positions. The study aims to investigate how the initial position and related parameters affect movement characteristics and the ultimate swarm distribution. To achieve this objective, four parameters-radius, height, mass, and the Coefficient of Restitution-were identified, each assigned three different values. The study observes the effects of these parameters on robot motion, considering motion strategies such as Random Walk, Levy Walk, Markov Process, and Brownian Motion. Results indicate that increasing parameter values induce changes in the position values of the free-falling swarm in the first part, which is the initial position for the second part, influencing movement strategies in diverse ways. The outcomes are analyzed concerning the radial and angular spread of the robots. Radial spread measures how far swarm elements spread from their initial positions, while angular spread indicates how homogeneously the robots are distributed according to the polar angle. The study comprehensively investigates how the movement strategies of autonomous robot swarms are impacted by parameters and how these effects manifest in the results. The findings are anticipated to enhance the effective utilization of autonomous robot swarms in exploration missions.