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Journal of Robotics and Control (JRC)
Published by Universitas Muhammadiyah Yogyakarta
ISSN : 27155056     EISSN : 27155072     DOI : https://doi.org/10.18196/jrc
Core Subject : Science, Engineering,
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering
Journal of Robotics and Control (JRC) is an international open-access journal published by Universitas Muhammadiyah Yogyakarta. The journal invites students, researchers, and engineers to contribute to the development of theoretical and practice-oriented theories of Robotics and Control. Its scope includes (but not limited) to the following: Manipulator Robot, Mobile Robot, Flying Robot, Autonomous Robot, Automation Control, Programmable Logic Controller (PLC), SCADA, DCS, Wonderware, Industrial Robot, Robot Controller, Classical Control, Modern Control, Feedback Control, PID Controller, Fuzzy Logic Controller, State Feedback Controller, Neural Network Control, Linear Control, Optimal Control, Nonlinear Control, Robust Control, Adaptive Control, Geometry Control, Visual Control, Tracking Control, Artificial Intelligence, Power Electronic Control System, Grid Control, DC-DC Converter Control, Embedded Intelligence, Network Control System, Automatic Control and etc.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 708 Documents
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An hybridization of global-local methods for autonomous mobile robot navigation in partially-known environments Sahloul, Samia; Abid, Donia BEN HALIMA; REKIK, Chokri
Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2483

Abstract

This paper deals with the navigation problem of an autonomous non-holonomic mobile robot in partially-known environment. In this proposed method, the entire process of navigation is divided into two phases: an off-line phase on which a distance-optimal reference trajectory enables the mobile robot to move from an initial position to a desired target which is planned using the B-spline method and the Dijkstra algorithm. In the online phase of the navigation process, the mobile robot follows the planned trajectory using a sliding mode controller with the ability of avoiding unexpected obstacles by the use of fuzzy logic controller. Also, the fuzzy logic and fuzzy wall-following controllers are used to accomplish the reactive navigation mission (path tracking and obstacle avoidance) for a comparative purpose. Simulation results prove that the proposed path planning method (B-spline) is simple and effective. Also, they attest that the sliding mode controller track more precisely the reference trajectory than the fuzzy logic controller (in terms of time elapsed to reach the target and stability of two wheels velocity) and this last gives best results than the wall-following controller in the avoidance of unexpected obstacles. Thus, the effectiveness of our proposed approach (B-spline method combined with sliding mode and fuzzy logic controllers) is proved compared to other techniques.
Small-scale Robot Arm Design with Pick and Place Mission Based on Inverse Kinematics Al Tahtawi, Adnan Rafi; Agni, Muhammad; Hendrawati, Trisiani Dewi
Journal of Robotics and Control (JRC) Vol 2, No 6 (2021): November (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

Robot arm is often used in industry with various tasks, one of which is a pick and place. Rapid prototyping of robot arms is needed to facilitate the development of many industrial tasks, especially on a laboratory scale. This study aims to design a small-scale three degree of freedom (3-DoF) robot arm for pick and place mission using the inverse kinematics method. The mechanical robotic arm system is designed using Solidworks with four servo motors as the actuator. Arduino Mega 2560 is used as a microcontroller in which the inverse kinematic method is embedded. This method is used to move the robot based on the coordinates of the destination pick and place. The test results show that the robot arm can carry out the pick and place mission according to the target coordinates given with the largest average error of about 5 cm. While the error generated between the calculation and computation results is around 3%.
The Design and Analysis of DC Electrical Voltage-Current Datalogger Device Implemented on Wind Turbine Control System Murti, Sri; Megantoro, Prisma; Silva, Gabriel De Brito; Maseleno, Andino
Journal of Robotics and Control (JRC) Vol 1, No 3 (2020): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1317

Abstract

DC electrical voltage - current measuring instrument and data logger is an instrument used to measure the current and voltage generated wind turbine and recording the measurement results. The fuction of this instrument is to activate the dummy load on the wind turbine control system to reduce the voltage that exceeds the safe limit when saving electrical energy. The purpose of this research is to manufacture and analyze DC electrical voltage - current measuring instrument with arduino uno based data logger which is capable to measure DC current and voltage generated by Hybrid Power Plants (PLTH) in Pantai Baru Pandansimo Bantul Yogyakarta, and using metrology method to analyze the degree of uncertainty of the measuring instrument. In this research, heuristic method is used to determine the characteristics of the sensor. Sensor characterization has been done, followed by calibration of measurement instrument to determine the magnitude of the uncertainty of the measurement instrument. The results of this research indicated that the characteristics of voltage sensor (CR5310-300) obtained equation of linear regression y=0.29253x + 0.662, while the current sensor characteristics (WCS1800) obtained equation of linear regression y=0.072978x - 37.2408. After the characterization procedure is done, the measuring instrument callibrated using a traced clampmeter. The calibration results indicated that the voltage sensor has accuracy of 99.99%. Whereas for the current measuring instrument has an uncertainty that is extended at standard current 0 -  9 amperes of 0.316 amperes and at the standard current of 9.7 amperes of 0.317 amperes with an accuracy of 99.98%. Based on the results of this research, can be obtained that current and voltage measuring instrument has good accuracy level.
Motorcycle Security System using SMS Warning and GPS Tracking Artono, Budi; Lestariningsih, Tri; Yudha, R. Gaguk Pratama; Bachri, Arizal Alfan
Journal of Robotics and Control (JRC) Vol 1, No 5 (2020): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1531

Abstract

Today, technology has been developing rapidly. Various types of technology have been developed and provide a great deal of convenience in human life activities, including security systems. Motorcycles, parked in a park or on the street, are at high risk of being stolen. A security system for Motorcycles with SMS warning and GPS tracking that can prevent theft of a motorcycle is needed. The research aimed to design a security system for motorcycle consisting of a SIM808 GSM Module to send warning messages, and a GPS tracker to provide information in latitude and longitude coordinates to track the stolen motorcycle using Google Maps. GPS Tracker worked by reading the coordinates where the object was located. The tests were carried out by moving and integrating the motorcycle system, and the results could be seen in the coordinate changes, monitored by Google map showing the movement of the motorcycle. The system made was significantly closer to what was planned.
Artificial Intelligence Vs My Future Job: Perceptions of Asian Undergraduates Ogbolu, Anthony Nnamdi; Sukidjo, Sukidjo
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1639

Abstract

Artificial Intelligence (AI) could have far reaching impact on economies and societies across the globe. The current avalanche of technological changes across the workplace demonstrated by AI has rekindled widespread fear of job losses and increase in inequality. This study sets out to analyze the perceptions of Asian undergraduates towards the increasing development of AI technologies in the workplace and assess how confident and adaptable they are in relation to challenges of AI as a viable future job competitor in the labour market. A survey instrument was administered randomly to 84 respondents from Yogyakarta State University and descriptive statistics was used in analyzing the data. The findings from the study revealed that more than 70 percent of respondents possess satisfactory levels of self-confidence and adaptability skills to take on the disruptive forces of AI technologies in the future but exhibits mixed feeling as regard to their perception of AI technologies in the workplace as the margin of difference among the three response options provided (Scared, Confident or Indifferent) were so small and below 50% for each option.  This study bridges the gap in the literature relating to undergraduate’s perception of AI in the workplace especially in Asia while also providing useful insights and recommendations to ensuring that all relevant stakeholders especially undergraduates maximizes the opportunities brought about by AI while reducing or totally eradicating the threats on their path.
Holonomic Implementation of Three Wheels Omnidirectional Mobile Robot using DC Motors Yunardi, Riky Tri; Arifianto, Deny; Bachtiar, Farhan; Intan Prananingrum, Jihan
Journal of Robotics and Control (JRC) Vol 2, No 2 (2021): March (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

In the Indonesian Wheeled Football Robot Contest (KRSBI) wheeled division, the robot that is made must be able to complete a predetermined task, one of which is the robot for chasing the ball and catching it. Holonomic is one of the methods used in navigating the omnidirectional movement of mobile robot applications. Because the movement is designed without changing the position of the robot in the direction of the facing, the omnidirectional wheels are used which has the ability to move freely in two directions. The mobile robot has three omnidirectional wheels and DC motors each used for movement. DC motors controlled by EMS 30A H-Bridge as a driver and Arduino Mega 2560 as the main microcontroller. Holonomic and inverse kinematic calculations are conducted to control the mobile robot movement of x, y, and ω toward angular velocity and direction of s1, s2, and s3 for each wheel. The length of the wheel axis to the middle of the body of robot is 160 mm. In this study, a robot was implemented on the robot movement for moving forward, backward, sideways, and diagonal direction. Based on the data evaluation, it is determined that an angular error of 2.84% exists in the movement of the omnidirectional robot at a velocity of 0.256 m/s to 1.403 m/s.
Digital Embedding System with Heater and Cooler Wijaya, Nur Hudha; Anggi Lesmana, Budiman; Shahu, Nishith; Ahmad, Irfan; Andri Atmoko, Rachmad
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

Embedding is an anatomical pathology laboratory device that is very important for producing quality slices and is also a device used to process paraffin tissue, so that the tissue can be cut with higher precision using a microtom (slicer). From the process of melting paraffin crystals using a manual heating process with bunsen flame heaters (fire heaters) so that the paraffin crystals can be transformed from the crystal into liquid. While paraffin crystals that have been processed from the crystal to liquid form are poured into the mold and left to freeze. In this case, an embedding system device will be made equipped with heating and cooling. The temperature used for the liquefaction process is 50ï‚°C while the temperature for cooling is 17ï‚°C. After making the process of making device, experiment device, and retrieving data, the error percentage results were 0.016% at the heating temperature and 0.08% at the coolant temperature, and the percentage of heating samples obtained in the sample was 61.3%, while the percentage samples for parts coolers get a value of 92%
Vibration Analysis for Engine fault Detection Gude, Angad; Pawar, Shubham; Alhat, Siddharth; Mishra, Sashikala
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

In the Vibration analysis for engine fault detection, we use different visualization graph. Today‘s world growing fast and machinery part getting complex so it’s difficult to find out fault in the machine so here means in this paper we explain how we find out the fault of the machine with help of visualization it’s easy to find out a fault here we use angular.js, D3.js for visualization and use MQTT protocol for publishing and subscribe sensor data. In the automobile industries machines are the main part of how we find out fault yes we find out fault with help of sensors using sensors here we analyze the machine.
Water Quality Measurement and Filtering Tools Using Arduino Uno, PH Sensor and TDS Meter Sensor Irawan, Yuda; Febriani, Anita; Wahyuni, Refni; Devis, Yesica
Journal of Robotics and Control (JRC) Vol 2, No 5 (2021): September (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

Rusunawa Rejosari is a flats owned by the Pekanbaru city government which is inhabited by underprivileged residents, water in the Rusunawa Rejosari borehole emits an unpleasant and murky odor, making it unfit for consumption and use for daily needs by residents who live there. Indonesia issued the TDS Standard by the Ministry of Health and the Indonesian National Standard (SNI), which is a maximum value of 500 ppm TDS and for the standard Hydrogen Potential (PH) of clean water 6.6 - 9.0 PH. Based on the above problems, a Water Quality Measurement and Filtration Tool was made using Arduino, a Hydrogen Potential Sensor (PH) and a Total Dissolved Solids (TDS) Sensor. Based on the research that has been carried out, it can be concluded that the tool runs smoothly, as evidenced by the measurement results of the accuracy of the sensor and successfully filters the water when the measurement is not normal, so that the water is suitable for consumption and use.
Real-Time Human Detection Using Deep Learning on Embedded Platforms: A Review Rahmaniar, Wahyu; Hernawan, Ari
Journal of Robotics and Control (JRC) Vol 2, No 6 (2021): November (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

The detection of an object such as a human is very important for image understanding in the field of computer vision. Human detection in images can provide essential information for a wide variety of applications in intelligent systems. In this paper, human detection is carried out using deep learning that has developed rapidly and achieved extraordinary success in various object detection implementations. Recently, several embedded systems have emerged as powerful computing boards to provide high processing capabilities using the graphics processing unit (GPU). This paper aims to provide a comprehensive survey of the latest achievements in this field brought about by deep learning techniques in the embedded platforms. NVIDIA Jetson was chosen as a low power system designed to accelerate deep learning applications. This review highlights the performance of human detection models such as PedNet, multiped, SSD MobileNet V1, SSD MobileNet V2, and SSD inception V2 on edge computing. This survey aims to provide an overview of these methods and compare their performance in accuracy and computation time for real-time applications. The experimental results show that the SSD MobileNet V2 model provides the highest accuracy with the fastest computation time compared to other models in our video datasets with several scenarios.

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