Using Fuzzy Logic for Autonomous Navigation
نویسندگان
چکیده
Successful navigation for unmanned autonomous vehicles (UAVs) depends on the ability of the navigation algorithm to fuse data from disparate sensor systems into a single direction command in real time, taking into account the various and sometimes contradictory goals of the UAV. In this paper, a fuzzybased method of sensor data analysis, fusion, and navigation is investigated. The results of its implementation on the UAV MOSFET, an off-road testbed for testing on-road automotive navigation algorithms, are presented. Previous work in the field of intelligent navigation including obstacle detection, lane finding, and navigation is surveyed and compared to the current implementation.
منابع مشابه
Collision Avoidance of Moving Obstacles for Underwater Robots
A fuzzy logic for autonomous navigation of underwater robot is proposed in this paper. The VFF(Virtual Force Field) algorithm, which is widely used in the field of mobile robot, is modified for application to the autonomous navigation of underwater robot. This Modified Virtual Force Field(MVFF) algorithm using the fuzzy logic can be used in either track keeping or obstacle avoidance. Fuzzy logi...
متن کاملNavigation Control of Autonomous Robot using Fuzzy Logic
In the field of electronic engineering the work of automation is growing at speed of light. The fundamental concept of autonomous operation depends on technique and logic that we are using. The simple fundamental concept of operating autonomous robot or simply we can say that a mobile robot is a navigation of that robot. The navigation consists of providing the specific path to follow optimal d...
متن کاملBehaviour Based Mobile Robot Navigation Technique Using Ai System: Experimental Investigation on Active Media Pioneer Robot
A key issue in the research of an autonomous robot is the design and development of the navigation technique that enables the robot to navigate in a real world environment. In this research, the issues investigated and methodologies established include (a) Designing of the individual behavior and behavior rule selection using Alpha level fuzzy logic system (b) Designing of the controller, which...
متن کاملA Q-learning Based Continuous Tuning of Fuzzy Wall Tracking
A simple easy to implement algorithm is proposed to address wall tracking task of an autonomous robot. The robot should navigate in unknown environments, find the nearest wall, and track it solely based on locally sensed data. The proposed method benefits from coupling fuzzy logic and Q-learning to meet requirements of autonomous navigations. Fuzzy if-then rules provide a reliable decision maki...
متن کاملFuzzy Logic Based Approach to Design of Autonomous Landing System for Unmanned Aerial Vehicles
This paper is concerned with autonomous flight of UAVs and proposes a fuzzy logic based autonomous flight and landing system controller. Besides three fuzzy logic controllers which are developed for autonomous navigation for UAVs in a previous work as fuzzy logic based autonomous mission control blocks, three more fuzzy logic modules are developed under the main landing system for the control o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003