Fuzzy logic and behavior control strategy for autonomous mobile robot mapping

2002 ◽  
Author(s):  
E. Tunstel ◽  
M. Jamshidi
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Control Strategy ◽  
Autonomous Mobile Robot ◽  
Behavior Control ◽  
And Behavior

scholarly journals Fuzzy Logic Based Control for Autonomous Mobile Robot Navigation

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Hajer Omrane ◽  
Mohamed Slim Masmoudi ◽  
Mohamed Masmoudi
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Fuzzy Controller ◽  
Mobile Robot Navigation ◽  
Infrared Range ◽  
Indoor Environments ◽  
Autonomous Mobile Robot ◽  
Ir Sensors ◽  
Navigation Algorithms ◽  
Trajectory Tracking Controller

This paper describes the design and the implementation of a trajectory tracking controller using fuzzy logic for mobile robot to navigate in indoor environments. Most of the previous works used two independent controllers for navigation and avoiding obstacles. The main contribution of the paper can be summarized in the fact that we use only one fuzzy controller for navigation and obstacle avoidance. The used mobile robot is equipped with DC motor, nine infrared range (IR) sensors to measure the distance to obstacles, and two optical encoders to provide the actual position and speeds. To evaluate the performances of the intelligent navigation algorithms, different trajectories are used and simulated using MATLAB software and SIMIAM navigation platform. Simulation results show the performances of the intelligent navigation algorithms in terms of simulation times and travelled path.

Mobile Robot Navigation in an Unstructured and Unknown Environment Using AI Techniques

Volume 2 ◽  
2004 ◽  
Author(s):  
S. Parasuraman ◽  
V. Ganapathy ◽  
Bijan Shirinzadeh
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Robot Navigation ◽  
Regulatory Control ◽  
Mobile Robot Navigation ◽  
New Approach ◽  
Decision Mechanism ◽  
Decision Making Processes ◽  
Behavior Design ◽  
And Behavior

This paper shows the new approach to solve the Mobile Robot Navigation issues. The approach consists of the simple behavior design based on Situation Context of Applicability (SCA) and arbitration of the concurrent act ivies of several possible competing behaviors. This work also shows some of the reviews of the related approaches, which are attempted to resolve the robot navigational issues. In this work the design of the behavior is based on regulatory control using fuzzy logic and the coordination and behavior selection is defined by fuzzy rules, which uses the SCA for each behavior. Also, in the SCA method, the decision-making processes of a few behaviors have been developed and applied for Active Media Pioneer Robot. Fuzzy Logic Decision Mechanism (FLDM) is developed by using the Fuzzy Associate Membership process, which are used here simplifies the design of the robotic controller and reduces the number of rules to be determined. In addition, any behavior can be added or modified easily. Applying the proposed methods, experimental results are also shown for the Obstacle avoidance, Wall following and Seek-goal behaviors.

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