Navigation of multiple mobile robots in a highly clutter terrains using adaptive neuro-fuzzy inference system

被引：70
|
作者：
Pothal, Jayanta Kumar [1 ]
Parhi, Dayal R. [1 ]
机构：
[1] NIT Rourkela, Dept Mech Engn, Odisha, India
来源：
ROBOTICS AND AUTONOMOUS SYSTEMS | 2015年 / 72卷
关键词：
Adaptive neuro-fuzzy inference system; Fuzzy logic; Neural network; Navigation; Mobile robot; ANFIS; CONTROLLER;
D O I：
10.1016/j.robot.2015.04.007
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In recent years, the interest in research on robots has increased extensively; mainly due to avoid human to involve in hazardous task, automation of Industries, Defence, Medical and other household applications. Different kinds of robots and different techniques are used for different applications. In the current research proposes the Adaptive Neuro Fuzzy Inference System (ANFIS) Controller for navigation of single as well as multiple mobile robots in highly cluttered environment. In this research it has tried to design a control system which will be able decide its own path in all environmental conditions to reach the target efficiently. Some other requirement for the mobile robot is to perform behaviours like obstacle avoidance, target seeking, speed controlling, knowing the map of the unknown environments, sensing different objects and sensor-based navigation in robot's environment. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：48 / 58
页数：11
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