Mobile robot obstacle avoidance in various type of static environments using fuzzy logic approach

Ibrahim, Maznah; Sariff, Nohaidda Binti; Johari, Juliana; Buniyamin, Norlida

doi:10.1109/iceese.2014.7154600

Cited by 15 publications

(10 citation statements)

References 5 publications

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“…Fuzzy logic approach was employed in [153] to develop a controller with 256 fuzzy logic rules with environmental data collected using IR sensors. Webot Pro and MATLAB were used for the software development and simulation, respectively.…”

Section: Fuzzy Logic Path Planningmentioning

confidence: 99%

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ayawli

Chellali

Appiah

et al. 2018

Journal of Advanced Transportation

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Safe and smooth mobile robot navigation through cluttered environment from the initial position to goal with optimal path is required to achieve intelligent autonomous ground vehicles. There are countless research contributions from researchers aiming at finding solution to autonomous mobile robot path planning problems. This paper presents an overview of nature-inspired, conventional, and hybrid path planning strategies employed by researchers over the years for mobile robot path planning problem. The main strengths and challenges of path planning methods employed by researchers were identified and discussed. Future directions for path planning research is given. The results of this paper can significantly enhance how effective path planning methods could be employed and implemented to achieve real-time intelligent autonomous ground vehicles.

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Section: Fuzzy Logic Path Planningmentioning

confidence: 99%

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ayawli

Chellali

Appiah

et al. 2018

Journal of Advanced Transportation

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show abstract

“…In the context of sensor technology, our method employs the common ultrasonic sensor for wall following task and the advanced camera sensor for detecting obstacle. Compared to [4], [7][8][9], our camera sensor offers the flexible detection of the obstacles.…”

Section: Comparison To the Existing Systemsmentioning

confidence: 99%

“…The mobile robots for avoiding obstacles were addressed in [7][8][9][10][11]. A mobile robot was operated in the warehouse for transferring the objects [7].…”

Section: Introductionmentioning

confidence: 99%

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Implementation of Fuzzy Logic Controller for Wall Following and Obstacle Avoiding Robot

Soetedjo

Ashari

Septian

2019

JAIS

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This paper presents the development of wall following and obstacle avoiding robot using a Fuzzy Logic Controller. The ultrasonic sensors are employed to measure the distances between robot and the wall, and between the robot and the obstacle. A low cost Raspberry Pi camera is employed to measure the left/right distance between the robot and the obstacle. The Fuzzy Logic Controller is employed to steer the mobile robot to follow the wall and avoid the obstacle according to the multi sensor inputs. The outputs of Fuzzy Logic Controller are the speeds of left motor and right motor. The experimental results show that the developed mobile robot could be controlled properly to follow the different wall positions and avoid the different obstacle positions with the high successful rate of 83.33%.

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“…Mobile robot's movement in a cluttered area with static obstacles was controlled via fuzzy approach and used webots simulator and Matlab software. it is indicated that webots and Matlab are suitable tools to develop and simulate mobile robot navigation [25].…”

Section: Related Workmentioning

confidence: 99%

Collision-Free Mobile Robot navigation using Fuzzy Logic Approach

Dirik¹

2018

IJCA

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Autonomous mobile robots' navigation has become a very popular and interesting topic of computer science and robotics in the last decade. Many algorithms have been developed for robot motion control in an unknown (indoor/outdoor) and in various environments (static/dynamic). Fuzzy logic control techniques are an important algorithm developed for robot navigation problems. The aim of this research is to design and develop a fuzzy logic controller that enables the mobile robot to navigate to a target in an unknown environment, using WEBOTS commercial mobile robot simulation and MATLAB software. The algorithm is divided into two stages; In the first stage, the mobile robot was made to go to the goal, and in the second stage, obstacle avoidance was realized. Robot position information (x, y, Ø) was used to move the robot to the target and six sensors data were used during the obstacle avoidance phase. The used mobile robot (E_PUCK) is equipped with 12 IR sensors to measure the distance to the obstacles. The fuzzy control system is composed of six inputs grouped in doubles which are left, front and right distance sensors two outputs which are the mobile robot's left and right wheel speeds. To check the simulation result for proposed methodology, WEBOTS simulator and MATLAB software were used. To modeling the environment in different complexity and design, this simulator was used. The experimental results have shown that the proposed architecture provides an efficient and flexible solution for autonomous mobile robots and the objective of this research has been successfully achieved. This research also indicated that WEBOT and MATLAB are suitable tools that could be used to develop and simulate mobile robot navigation system.

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Mobile robot obstacle avoidance in various type of static environments using fuzzy logic approach

Cited by 15 publications

References 5 publications

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Implementation of Fuzzy Logic Controller for Wall Following and Obstacle Avoiding Robot

Collision-Free Mobile Robot navigation using Fuzzy Logic Approach

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