Cooperative Avoidance Control-based Interval Fuzzy Kohonen Networks Algorithm in Simple Swarm Robots

Nurmaini, Siti; Zaiton, Siti; Firnando, Ricy

doi:10.12928/telkomnika.v12i4.495

Cited by 5 publications

(5 citation statements)

References 29 publications

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“…The infrared sensors are placed at both sides of the wheelchair near the wheel. It serves as an improvised tachometer by detecting the black marks placed at every 45 degrees on the wheel [26]. The touchpad placed at the right side of the wheelchair or the joystick-mode of the Android application via Bluetooth connection can navigate by tapping the right coordinates for forward, backward, left rotation and right rotation.…”

Section: Results and Analysis 31 Principle Of Operationmentioning

confidence: 99%

Smart Wheelchair with Dual Control using Touchpad and Android Mobile Device

Arboleda

Paulite

Carandang

2018

IJEEI

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The general objective of the design was to develop a touchpad controlled Android-based electronic wheelchair. It aimed to construct the Androidbased circuitry and program for the path finding mechanism of the drive system and interface the Arduino-based circuit to the electronic wheelchair setup. It was designed to evaluate the system in terms of the speed of the electronic wheelchair, reliability of the sensors to avoid obstacle, and ease of use of the wheelchair. C Programming Language was used by the system to control and manipulate the microcontroller, Gizduino AtM ega644. The Android application was programmed using the Java Language and Eclipse as the IDE. Its ports were used to interface input and output devices such as the ultrasonic sensors, infrared proximity sensor, touchpad, Bluetooth module, motor and motor driver. There was a satisfactory rating for the evaluation of the system while the Android software was rated excellent as a navigational controller.

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Section: Results and Analysis 31 Principle Of Operationmentioning

confidence: 99%

Smart Wheelchair with Dual Control using Touchpad and Android Mobile Device

Arboleda

Paulite

Carandang

2018

IJEEI

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“…The Fuzzy method often used because it was famous with the knowledge rules base in the form of inputs and outputs. Therefore, based on these rules, the system would have the ability to take decisions for doing to action that should be done [8].…”

Section: Fuzzy Logic Algorithmmentioning

confidence: 99%

Peat Land Fire Monitoring System Using Fuzzy Logic Algorithm

Latifah

Annisah²,

Dewi³

2019

ComEngApp

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In this research, a fuzzy logic algorithm is implemented in a monitoring system for detecting the potential fires in peat land. The monitoring system in this research employs two sensors as the fuzzy inputs, i.e. TGS 2600 gas sensor and DHT11 temperature sensor. The outputs of the fuzzy logic are the specified conditions of motor activation (PWM) with 3600 rotations. The system is monitored through camera, which sends the monitoring result to android via web server. The result is sent when TGS 2600 and DHT11 sensors detect the determined gas concentration and surrounding temperature. Before sending the result, the rotating motor stops every five minutes to take the photograph of peat land location. The result shows that the algorithm used in this research has been successful in determining the condition of the peat lands correctly and therefore can be used as the early prevention of fires.

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“…One problem in coordination between robots is the problem of coordinating individual trajectories so that the overall trajectories form a certain spatial patterns [1][2][3][4][5][6][7]. In this particular case, a group of unicycle mobile robots is coordinating its member's trajectories such that the coordination forms spatial patterns.…”

Section: Introductionmentioning

confidence: 99%