Fuzzy Logic Implementation on Motion of Tennis Ball Picker Robot

Faizah, Faizah; Triwiyatno, Aris; Isnanto, R. Rizal

doi:10.1109/comnetsat53002.2021.9530815

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The Pixy2 is a small, fast, low-cost camera with powerful image processing capabilities. It can detect up to seven colours and indicate their coordinates in a 320 x 200-pixel graphic (x, y) at a speed of 60fps, which is fast enough to track a ball rolling on a plate [15], [16]. The main advantage of using a camera which takes care of image processing is the reduced consumption of resources.…”

Section: Cameramentioning

confidence: 99%

ANFIS multi-tasking algorithm implementation scheme for ball-on-plate system stabilization

Hadoune

Benouaret

2022

IJEEI

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This paper presents the design and realization of a ball-on-plate system using a 3-degree-of-freedom parallel robot controlled by an adaptive neuro-fuzzy inference system. The ball-on-plate system is nonlinear, multivariable, with an under-actuated feature. Initially, the parallel robot is designed using SolidWorks and mechanized using a computer numerical control machine. Followed by the presentation of the ball-on-plate system mathematical model and the simplified model obtained. Afterwards, the inverse kinematics are performed to derive the appropriate angle for each servomotor. Eventually, the controller is designed and implemented in a double loop feedback scheme. A comparison between the proposed controller and a conventional proportionalintegral-derivative controller in terms of time response, overshoot, and steadystate error is carried out. Furthermore, a comparison between sequential and asynchronous parallel processing is conducted for two different scenarios. The first scenario is when moving the ball to the origin while the second is for disturbance rejection. Simulation and experimental results show that the adaptive neuro-fuzzy inference system implemented using asynchronous parallel processing improves the real-time system stability by considerably decreasing oscillations as well as enhancing the ball movement smoothness with a small stead-state error.

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Section: Cameramentioning

confidence: 99%

ANFIS multi-tasking algorithm implementation scheme for ball-on-plate system stabilization

Hadoune

Benouaret

2022

IJEEI

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“…The fuzzy logic-generated control input was adjusted to meet the actuation saturation limits and non-slipping conditions. An implementation of a tennis ball picker robot was proposed by Faizah et al [18] using fuzzy logic. The x and y coordinate points of the tennis ball's position relative to the robot were used as inputs, and the output of the fuzzy logic was the speed of the motor actuator on the robot wheel.…”

Section: Introductionmentioning

confidence: 99%

Development of a Vision-Based Unmanned Ground Vehicle for Mapping and Tennis Ball Collection: A Fuzzy Logic Approach

Latifinavid

Azizi

2023

Future Internet

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The application of robotic systems is widespread in all fields of life and sport. Tennis ball collection robots have recently become popular because of their potential for saving time and energy and increasing the efficiency of training sessions. In this study, an unmanned and autonomous tennis ball collection robot was designed and produced that used LiDAR for 2D mapping of the environment and a single camera for detecting tennis balls. A novel method was used for the path planning and navigation of the robot. A fuzzy controller was designed for controlling the robot during the collection operation. The developed robot was tested, and it successfully detected 91% of the tennis balls and collected 83% of them.

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Fuzzy Logic Implementation on Motion of Tennis Ball Picker Robot

Cited by 2 publications

References 5 publications

ANFIS multi-tasking algorithm implementation scheme for ball-on-plate system stabilization

ANFIS multi-tasking algorithm implementation scheme for ball-on-plate system stabilization

Development of a Vision-Based Unmanned Ground Vehicle for Mapping and Tennis Ball Collection: A Fuzzy Logic Approach

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