Mobile Robot Navigation and Obstacle-avoidance using ANFIS in Unknown Environment
نویسندگان
چکیده
منابع مشابه
Mobile Robot Navigation and Obstacle-avoidance using ANFIS in Unknown Environment
Navigation and obstacle avoidance in an unknown environment is proposed in this paper using hybrid neural network with fuzzy logic controller. The overall system is termed as Adaptive Neuro Fuzzy Inference System (ANFIS). ANFIS combines the benefits of fuzzy logic and neural networks for the purpose of achieving robotic navigation task. Simulation results are presented using Khepera Simulator (...
متن کاملMobile Robot Navigation with Obstacle Avoidance in Unknown Indoor Environment using MATLAB
One of the most recent research areas over the last two decades is the navigation of mobile robots in unknown environments. In this paper, real time navigation for Wheeled Mobile Robot (WMR) using fuzzy logic technique, wireless communication and MATLAB is investigated. Two fuzzy logic controllers (FLCs) with two inputs and two outputs are used to navigate WMR in obstacle ridden environment. Ou...
متن کاملFuzzy Logic Navigation and Obstacle Avoidance by a Mobile Robot in an Unknown Dynamic Environment
Mobile robot navigation has remained an open problem over the last two decades. Mobile robots are required to navigate in unknown and dynamic environments, and in recent years the use of mobile robots in material handling has considerably increased. Usually workers push carts around warehouses and manually handle orders which is not very cost‐effective. To this e...
متن کاملMulti Modules Fuzzy Logic for Mobile Robots Navigation and Obstacle Avoidance in Unknown Indoor Dynamic Environment
Navigation of autonomous mobile robots in unknown environments is one of the most research area. Mobile robot can be used in many applications such as indoor and outdoor security patrols, material transport. In this paper, on-line navigation for autonomous mobile robot in dynamic and unknown indoor environment using multi modules fuzzy logic technique is investigated. Four fuzzy logic modules a...
متن کاملMultiple Mobile Robots Navigation and Obstacle Avoidance Using Minimum Rule Based ANFIS Network Controller in the Cluttered Environment
The ANFIS is the product of two methods, neural networks, and fuzzy systems. If both these intelligent methods are combined, better reasoning will be obtained in term of quality and quantity. In other words, both fuzzy reasoning and neural network calculation will be available simultaneously [7]. This ANFIS technique has been successfully applied by many researchers for sensor-based autonomous ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/15952-5400