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The Kinematics and Dynamics Motion Analysis of a Spherical Robot Dewi, Tresna; Risma, Pola; Oktarina, Yurni; Prasetyani, Lin; Mulya, Zarqa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1937

Abstract

Mobile robot application has reach more aspect of life in industry and domestic. One of the mobile robot types is a spherical robot whose components are shielded inside a rigid cell. The spherical robot is an interesting type of robot that combined the concept of a mobile robot and inverted pendulum for inner mechanism. This combination adds to more complex controllerdesignthantheothertypeofmobilerobots.Asidefrom these challenges, the application of a spherical robot is extensive, from being a simple toy, to become an industrial surveillance robot. This paper discusses the mathematical analysis of the kinematics and dynamics motion analysis of a spherical robot. The analysis combines mobile robot and pendulum modeling as the robot motion generated by a pendulum mechanism. This paper is expected to give a complete discussion of the kinematics and dynamics motion analysis of a spherical robot.
The impact of Nodes Distance on Wireless Energy Transfer System Risma, Pola; Dewi, Tresna; Oktarina, Yurni
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 2, May 2020
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.412 KB) | DOI: 10.22219/kinetik.v5i2.1051

Abstract

Wireless energy transfer (WET) reemerges as the method for transmitting electric power without the necessity to deal with cable losses and an aesthetically pleasing environment. The problem with WET is how to maintain magnetic induction as the distance gets further. This paper investigates the impact of nodes distance on the WET system. The experimental results show that the most effective distance among transmitter, nodes, and receiver are 4 cm. The measurement is taken with and without load. The without load application give that for node 1; the results are 6 V, 110 mA, and 2.85 mT for voltage, current, and magnetic flux, respectively. At the application of 2 nodes, the voltage is 6.8 V, the current is 0.124 mA, and the magnetic flux is 3.83 mT, and at three nodes installation, it is 7 V, 134 mA, and 3.83 mT. During the application of 3-Watt and 5-Watt lamp, at 4 cm distance, the power received is 1.66 W and 3.66 W at 3-Watt and 5-Watt lamp for one node, 1.84 W, and 3.84 for two nodes, and 1.93 W and 3.93 for three nodes. The experimental results show that the transmitted signal can be prolonged by installing nodes. Even though this study shows that 4 cm is the most effective, it is possible to increase up to 20 cm to power a 3-Watt lamp and 5-Watt lamp.
Fruit sorting robot based on color and size for an agricultural product packaging system Tresna Dewi; Pola Risma; Yurni Oktarina
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (718.328 KB) | DOI: 10.11591/eei.v9i4.2353

Abstract

Indonesia's location in the equator gives an ideal condition for agriculture. However, agriculture suffers the issue of old farming due to a lack of youth interest working in this sector. This problem can be overcome by applying digital farming methods, in which one of them is by employing robots. Robotics technology is suitable for handling the harvested product, such as a sorting robot. This paper presents the application of a 4DOF fruit sorting robot based on color and size in a packaging system. The sorting is made possible by image processing where color is recognized by HSV analysis, and the diameter is known in the grayscale image and setting the thresholding. The fruit to be sorted is red and green tomatoes and red and green grapes. The experiments were conducted to show the effectiveness of the proposed method. The time requires for the robot to accomplish the task is 11.91s for red tomatoes, 11.76s for green tomatoes, 12.56s for red grapes, and 12.92s for green grapes. The time difference is due to the position of the boxes for the sorted fruit. The experimental results show that the arm robot manipulator is applicable for a sorting robot using the proposed method.
Analysis of The Sensor Line on Line Follower Robot as an Alternative Transport The Tub Trash in The Shopping Center Yurni Oktarina; M. Nawawi; Windy Gafrila Tulak
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.708 KB) | DOI: 10.30870/volt.v2i2.1859

Abstract

This is a line follower robot is a robot designed to assist humans in activities such as throw away trash in the shopping center. On robot sensors added a line that consists of photodiode and LED.  The robot will walk follows the path which has been given a different color (black and white) to be detected by the sensor lines at the location of the junk-filled tubs and tubs of the empty trash. The research aims to know the performance of the sensor lines and the movement of the robot with the research method using PID. The results of this study when the distance between the sensor and the surface of 5 cm – 7 cm then the performance of the sensor surface in distinguishing the line of black and white still work fine, while at a distance of 8 cm – 10 cm sensor line performance diminished. For setting the PID, P = 10 will result averaged a greater error value i.e. 9.9 so the robot will move fast but unstable, while P = 5 align the median value error – i.e. 8 so the robot will move stable (as black)
Analysis and Design of Obstacle Avoidance on Robot Detection of Pipe Cracked Yudha Wira Pratama; Tresna Dewi; Yurni Oktarina
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (956.008 KB) | DOI: 10.30870/volt.v2i2.2044

Abstract

Pipe robot is a robot capable of moving inside the pipe. The function of the pipe robot is to monitor pipe defects. The pipe robot is designed to move steadily in the center position inside the pipe. HCSR-04 distance sensor required input to give distance value to the microcontroller so that robot keep running stable and balance, for movement of the robot using DC motor. This robot is made with the aim to move autonomously following the pipeline in detecting pipe cracks. Programming on this robot using Artificial Neural Network algorithm with the Backpropogation method of network structure, consist of 3 input layer, 3 output layer, and 20 hidden layers. Conducted experiments on inputs, hidden layers, and outputs with varying amounts to obtain robust network structure of efficient and precise movement of robots in detecting pipe cracks. The result of movement of the robot in the application of Artificial Neural Network algorithm with Backpropagation method is able to move well and more stable. In this case, it uses 2 ultrasonic sensors and 2 motor outputs. The average robot speed movement is 10 cm/sec.
Object Following Design for a Mobile Robot using Neural Network Neta Larasati; Tresna Dewi; Yurni Oktarina
Computer Engineering and Applications Journal Vol 6 No 1 (2017)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.427 KB) | DOI: 10.18495/comengapp.v6i1.189

Abstract

Deciding the best method for robot navigation is the most important tasks in mobile robot design, defined as the robot's ability to reach the target or/and move around its environment safely using the installed sensors and/or predefined map. To achieve this objective, wall or object detection can be considered. It is common to derive kinematics and dynamics to design the controls system of the robot, however by giving intelligence system to the robot, the control system will provide better performance for robot navigation. One of the most applied artificial intelligence is neural networks, a good approach for sensors of mobile robot system that is difficult to be modeled with an accurate mathematical equations. Mostly discussed basic navigation of a mobile robot is wall following. Wall following robot has been used for many application not only in industrial as a transport robot but also in domestic or hospital. Two behaviors are designed in this paper, wall following and object following. Object following behavior is developed from wall following by utilizing data from 4 installed distance sensors. The leader robot as the target for the follower robot, therefore the follower robot will keep on trying reaching for the leader in a safe distance. The novelty of this research is in the sense of the simplicity of proposed method. The feasibility of our proposed design is proven by simulation where all the results shows the effectiveness of the proposed method.
BLOB Analysis for Fruit Recognition and Detection Muhammad Dede Yusuf; RD Kusumanto; Yurni Oktarina; Tresna Dewi; Pola Risma
Computer Engineering and Applications Journal Vol 7 No 1 (2018)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.192 KB) | DOI: 10.18495/comengapp.v7i1.237

Abstract

Robot application in agriculture can ease the farming process, especially as the harvesting robot for seasonal fruit that is available in a short time. The addition of "eye" as the image sensor is an important feature for a harvesting robot. Thanks to the increment of technology, the camera is getting smaller with better performance, and lower prices. The cheap sensors and components make the creation of cheap and effective robot possible. Image processing is necessary for object detection, and open source software is available now for this purpose. This paper proposes BLOB analysis for object detection of 5 fruits with different shapes and colors. The simulation results show that the proposed method is effective for object detection regardless the shapes, colors, and noises.
Neural Network Controller Application on a Visual based Object Tracking and Following Robot Pola Risma; Tresna Dewi; Yurni Oktarina; Yudi Wijanarko
Computer Engineering and Applications Journal Vol 8 No 1 (2019)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (611.088 KB) | DOI: 10.18495/comengapp.v8i1.280

Abstract

Navigation is the main issue for autonomous mobile robot due to its mobility in an unstructured environment. The autonomous object tracking and following robot has been applied in many places such as transport robot in industry and hospital, and as an entertainment robot. This kind of image processing based navigation requires more resources for computational time, however microcontroller currently applied to a robot has limited memory. Therefore, effective image processing from a vision sensor and obstacle avoidances from distance sensors need to be processed efficiently. The application of neural network can be an alternative to get a faster trajectory generation. This paper proposes a simple image processing and combines image processing result with distance information to the obstacles from distance sensors. The combination is conducted by the neural network to get the effective control input for robot motion in navigating through its assigned environment. The robot is deployed in three different environmental setting to show the effectiveness of the proposed method. The experimental results show that the robot can navigate itself effectively within reasonable time periods.
Fuzzy-PID Controller Design of 4 DOF Industrial Arm Robot Manipulator Yurni Oktarina; Fradina Septiarini; Tresna Dewi; Pola Risma; Muhammad Nawawi
Computer Engineering and Applications Journal Vol 8 No 2 (2019)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1167.933 KB) | DOI: 10.18495/comengapp.v8i2.300

Abstract

Arm robot manipulator is the most applied robot to substitute human labor in industries. Due to the importance of arm robot manipulator in manufacturing lines, the robustness and effective design are essential in building an arm robot. This paper presents the controller, mechanical, and motion designs of an arm robot manipulator. The fuzzy logic controller is employed to ensure the effectiveness in detecting the target object. PID controller is designed to enhance the smooth and stability of robot motion. The simulation of how the robot move inside its workspace was conducted using RSTX toolbox in SciLab. The motion is generated by deriving Denavit-Hartenberg parameters of the mechanical design. The result shows the effective design of Fuzzy-PID controller and mechanical design of a pick and places arm robot manipulator.
Finger Cue for Mobile Robot Motion Control Tresna Dewi; Amperawan Amperawan; Pola Risma; Yurni Oktarina; Dicky Astra Yudha
Computer Engineering and Applications Journal Vol 9 No 1 (2020)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (593.467 KB) | DOI: 10.18495/comengapp.v9i1.319

Abstract

The current technology enables automation using a robot to help or substitute humans in industry and domestic applications. This robot invasion to human life emerges a new requirement to set a method of communication between a human and a robot. One of the oldest languages is finger gesture, and this is easy to be applied method by implementing image detection that connected to the actuators of the robot to respond to human orders. This paper presents a method to navigate robots based on human fingers cue, including "Forward," "Backward," "Turn right," "Turn left," and "Stop" to generate the forward, backward, turn right, turn left, and stop motion. The finger detection is facilitated by a camera module (NFR2401L) with the image plane of 640 x 480 and 30 fps speed. The detection in coordinates x <43 and y <100, robot moves forward, in x <29 and y <100-coordinates , robot turns left, and in x <19 and y <100-coordinates , robot turns right. The experiment was conducted to show the effectiveness of the proposed method, and to some extent robot can follow human cues to navigate in its assigned location.