Olfactory Arm Mobile Robot for Object Inspection Based on Fuzzy Logic and Support Vector Machine

Rendyansyah,; Rivai, Muhammad; Purwanto, Djoko

doi:10.1088/1742-6596/1196/1/012019

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Sistem pelacakan panel surya banyak digunakan sehingga panel surya dapat menghasilkan energi listrik yang lebih banyak daripada panel surya non-pelacakan [2]. Banyak sistem kontrol yang digunakan seperti pelacakan panel surya '1', logika fuzzy sering banyak digunakan di berbagai bidang seperti sistem pelacakan panel surya [3], navigasi robot [4], [5], dan sistem penyaringan udara elektrostatik [6].…”

Section: Pendahuluanunclassified

Sistem Pengisian Daya Secara Wireless Menggunakan IoT Berbasis Tracking Panel Surya

Yuwono,

Diharja,

Wahyu Solihin

2023

seniati

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Teknologi pembuatan baterai telah berkembang cukup pesat. Teknologi pengisian baterai juga mengalami berbagai inovasi dalam proses pengisian energi pada baterai. Ini membutuhkan sistem pengisian baterai yang sederhana, cepat dan mudah. Dalam studi ini, kami telah merancang dan merealisasikan sistem pengisian baterai nirkabel yang dipasok oleh panel surya menggunakan sistem pelacakan. Sistem ini dilengkapi dengan IoT (internet of Things) yang bertujuan untuk memantau energi yang dihasilkan dan digunakan saat pengisian baterai. Selanjutnya, sistem pelacakan pada panel surya akan dibandingkan dengan sistem non-pelacakan yang dipantau melalui IoT. Hasil eksperimen menunjukkan bahwa sistem pelacakan panel surya dapat meningkatkan kinerja panel surya. Sistem IoT dapat membandingkan nilai energi tambahan yang dihasilkan saat menggunakan sistem pelacakan panel surya melalui data di IoT

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Section: Pendahuluanunclassified

Sistem Pengisian Daya Secara Wireless Menggunakan IoT Berbasis Tracking Panel Surya

Yuwono,

Diharja,

Wahyu Solihin

2023

seniati

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“…SVM is supervised machine learning in data clustering as well as pattern recognition. Our previous research also implemented SVM for gas identification based on mobile robots [9,10]. Therefore, this study developed a voice commandbased mobile robot control method by applying the MFCC and SVM patterns.…”

Section: Introductionmentioning

confidence: 99%

Implementation of MFCC and SVM for Voice Command Recognition as Control on Mobile Robot

Rendyansyah¹

2022

JurnalEcotipe

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The mobile robot is a system that can move according to function and task. An example is an industrial robot taking objects using a remote control system. Robots controlled using a manual remote system are generally carried out on mobile robots. Many researchers have developed manual control methods, such as image or sound-based robot control. In this study, the mobile robot was applied in an unobstructed room and controlled using voice commands. The methods used are Mel-Frequency Cepstral Coefficients (MFCC) and Support Vector Machine (SVM). MFCC is a characteristic identification of voice command patterns such as “forward”, “backward”, “left”, “right”, and “stop.” SVM is used to recognize voice command patterns based on the value of the MFCC for each pattern. The experiment has been carried out 50 times with a success rate of 96%. Overall the robot can be controlled by voice commands with good movement.

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LiDAR Equipped Robot Navigation on Behavior-based Formation Control for Gas Leak Localization

Nursyeha

Rivai

Purwanto

et al. 2020

2020 International Seminar on Intelligent Technology and Its Applications (ISITIA)

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Olfactory Arm Mobile Robot for Object Inspection Based on Fuzzy Logic and Support Vector Machine

Cited by 3 publications

References 5 publications

Sistem Pengisian Daya Secara Wireless Menggunakan IoT Berbasis Tracking Panel Surya

Sistem Pengisian Daya Secara Wireless Menggunakan IoT Berbasis Tracking Panel Surya

Implementation of MFCC and SVM for Voice Command Recognition as Control on Mobile Robot

LiDAR Equipped Robot Navigation on Behavior-based Formation Control for Gas Leak Localization

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