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Assessment of Applying Path Planning Technique to Nanorobots in a Human Blood Environment

机译:在人类血液环境中将路径规划技术应用于纳米机器人的评估

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This paper demonstrates the inspiration of using communication technique between nanorobots and the movements of them in a swarm for the purpose of target area tracking and arrival inside human blood streaming environment. So, the blood elements and physical properties must be considered. The communication and movement problems of nanorobots are carried out in a self-organized way by applying modified Particle Swarm Optimization (PSO) algorithm to enable them to make decisions. The nanorobots must also be programmed to detect and avoid the blood cells which are worked as obstacles. In this paper, the modified obstacle avoidance algorithm is used to allow the nanorobots to avoid these obstacles. This research includes an analysis of the performance and behavior of nanorobots to demonstrate the great impact to attach communication algorithm with obstacle avoidance algorithm for nanorobots' movement plan. The results and analysis indicate that nanorobots will take on average less time to reach the target area and will guarantee that every nanorobot will arrive safely.
机译:本文演示了使用纳米机器人之间的通信技术及其在一群人中的运动以启发目标区域跟踪并到达人类血液流动环境的灵感。因此,必须考虑血液成分和物理性质。纳米机器人的通信和运动问题是通过应用改进的粒子群优化(PSO)算法以自组织的方式来进行决策的。纳米机器人还必须进行编程,以检测和避免作为障碍的血细胞。在本文中,使用改进的避障算法来使纳米机器人避开这些障碍。这项研究包括对纳米机器人的性能和行为的分析,以证明将通信算法与避障算法相结合对纳米机器人的运动计划具有巨大的影响。结果和分析表明,纳米机器人到达目标区域所需的平均时间更少,并且可以确保每一个纳米机器人都能安全到达。

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