采用蒙特卡洛方法进行基于随机行人的机器人控制

M. R. Effendi
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引用次数: 0

摘要

科学技术的发展促进了机器人的发展。机器人广泛应用于人类生活的各个领域,为人类生活提供便利。机器人制造在机器人使用的方法和算法方面都有了发展。蒙特卡罗方法和随机漫步算法是目前机器人设计中广泛采用的方法。蒙特卡罗方法求解微分方程的基本概念是随机游走的概率。基于随机步进过程中的方法,蒙特卡罗方法有两种比较流行的方法,即固定随机漫步型和浮动随机漫步型。在这项研究中,研究人员打算应用蒙特卡罗方法来控制基于随机行走的机器人的运动。在这个研究方法中,将描述研究阶段,包括需求分析,蒙特卡罗方法的应用,利用Arduino制作控制机器人的应用。本研究的结果,使用蒙特卡罗方法测试,表明机器人的响应不会太慢,新机器人的反应不会超出现有的速度变化限制太远。从以上测试可以看出,应用蒙特卡罗方法测量机器人的运动更加有效和高效。关键词:蒙特卡罗方法,机器人控制,随机行走
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PENERAPAN METODE MONTECARLO UNTUK GERAK PENGONTROLAN ROBOT BERBASIS RANDOM WALKS
The development of science and technology encourages the development of robots. Robots are widely used in various fields of human life to facilitate human life. Robot making has developed both in terms of methods and algorithms used in robots. The use of the montecarlo method and the random walks algorithm are widely implemented in robot designs at present. The basic concept of the Montecarlo method in solving differential equations is the probability of a random walk. Based on the approach in the random step process, the Montecarlo method is known for two types of approach that are quite popular, namely the fixed random walk type and the floating random walk type. For this research, the researcher intends to apply the monte carlo method to control the motion of a randon walk based robot. In this research method, the research stages will be described including needs analysis, application of the monte carlo method, making applications to control robots using Arduino.The results of this research, testing using the Montecarlo method, show that the response of the robot is not too slow, the new robot reacts not too far beyond the existing speed change limit. From the above tests, it can be analyzed that the application of the Montecarlo method is more effective and efficient in measuring motion in the robot. Keywords : Montecarlo Method, Robot Control, Randon Walks
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