Development of Tank-Based Military Robot and Object Tracker

Budiharto, Widodo; Andreas, Vincent; Suroso, Jarot S.; Gunawan, Alexander Agung Santoso; Irwansyah, Edy

doi:10.1109/acirs.2019.8935962

Cited by 12 publications

(3 citation statements)

References 9 publications

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“…In (Budiharto et al, 2019), the authors presented a computer-vision-based prototype of a tank military robot that could track and identify targets, simulate turret firing, and use a library in OpenCV. According to experimental results, they demonstrate that their approach is clearly superior to multilateralism for relative state estimation.…”

Section: Related Workmentioning

confidence: 99%

Implementing distributed collaboration and applying the YOLO algorithm to robots

Hanafi,

Tamali

2024

SEES

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Recently, the world has witnessed the development of artificial intelligence and robot programming, which have enabled robots to work together to perform specific assigned tasks while overcoming obstacles in the environment. Robots can now operate independently of each other. In this research, four-wheeled robots were created in webots and placed in different environments in Gazebo. These robots are associated with LIDAR and Kinect cameras. Due to the distributed collaboration between robots, a robot cannot traverse a path that it has previously traversed. The three robots are given the same goal, and the first robot to reach the goal signals the end of the mission to the remaining robots and learns about the surrounding objects on the way to the goal. Therefore, the YOLO algorithm was used (You Only Look Once). This is one of the best algorithms for detecting objects in their environment. Regarding the results obtained in the simulation, the robot performed all the assigned tasks.

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Section: Related Workmentioning

confidence: 99%

Implementing distributed collaboration and applying the YOLO algorithm to robots

Hanafi,

Tamali

2024

SEES

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“…Penggunaan perangkat dengan yang memiliki spesifikasi mempuni contohnya menggunakan mini komputer [3], kemudian mikrokontroler yang memiliki clock yang tinggi [4] sudah menjadi kebutuhan yang mutlak. Selain itu dibutuhkan juga sensorsensor yang memiliki kegunaan khusus, seperti penggunaan kamera [5] [6] yang digunakan untuk mendapatkan input data berupa gambar, sensor laser [7] [8] dan sensor MENGGUNAKAN ROBOT OPERATING SYSTEM ultrasonik yang digunakan untuk mengetahui jarak benda disekitar robot, sensor kompas yang dapat digunakan untuk memberikan koreksi terhadap gerak dan arah hadap robot [9] [10], serta sensorsensor lain yang dapat dimanfaatkan oleh sistem kontrol robot [11]. Sensor sensor tersebut dibutuhkan, karena robot tidak bisa hanya menggunakan sensor odometry roda saja [12] [13].…”

Section: Pendahuluanunclassified

Sistem Distribusi Data Kontrol Pada Differential Drive Mobile Robot Menggunakan Robot Operating System

Azhar

Winarno

Izza³

2022

Metrotech

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Pada umumnya mikrokontroler untuk menggerakkan sistem robot hanya menggunakan satu buah saja. Hal ini dapat mengakibatkan berlebihnya beban yang diterima oleh mikrokontroler. Kelebihan beban pada mikrokontroler mengakibatkan tidak akuratnya waktu sampling yang digunakan pada sistem robot tersebut dan dapat berujung pada error atau hank pada robot. Untuk mengurangi terjadinya error, maka diujicobakan sistem multikontroler pada robot Differential Drive(DDMR). Sistem distribusi data antar kontroler memanfaatkan protokol komunikasi serial I2C, dan komunikasi antara kontroler dengan mini komputer menggunakan protokol rosserial yang disediakan oleh Robot Operating System (ROS). Hasil yang didapatkan untuk melakukan distribusi data dengan serial I2C membutuhkan waktu sebesar 1.4 ms, sedangkan untuk melakukan komunikasi ketiga slave dibutuhkan waktu sebesar 4.18 ms, dengan waktu untuk saling berkomunikasi antara master dan slave didapatkan sebesar 8.36 ms. Untuk distribusi dengan rosserial dibutuhkan sebesar 4.7 ms. Sehingga total waktu untuk distribusi data sebesar 13.06 ms. Pengujian juga dilakukan ketika robot menjalankan algoritma lain yang dibutuhkan, dan menghasilkan rata - rata waktu sampling sebesar 63.5 ms. Hasil tersebut menunjukkan bahwa penggunaan sistem multi kontroler dengan distribusi data menggunakan Serial I2C dan rosserial dapat berjalan secara optimal, karena waktu sampling yang dibutuhkan masih lebih cepat dari 80 ms.

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“…Several robots developed to assist human in handling the covid suspects without having a direct contact[7]- [12] . There are several applications for robots such as robot rescue[13]-[17], military robot[18]- [22]. There are three types of robots based on the level of independent control such as autonomous mobile robots, semi-autonomous mobile robots, and controller mobile robots.…”

Section: A Introductionmentioning

confidence: 99%

Multiplatform of SVC Device for User Experience Mobile Robot Teleoperation

Muhammad,

Masjudin

2023

ijcs

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The industrial revolution 4.0 and the rapid advancement of technology during pandemic era has made significant progress in robot industry. There are three types of robots based on the level of independent control such as autonomous mobile robots, semi-autonomous mobile robots, and controller mobile robots. Semi-autonomous mobile robot and Controlled mobile still require human intervention in carrying out the tasks. In this study, teleoperation on mobile robots is displayed on various platforms such as Smartphone, Virtual reality headset as a virtual reality platform, and Computer (SVC) device. A camera is used as a visual sensor that dispatches the information of the surroundings to each platform. The controller used for the teleoperation varies depending on the platforms. The computer platform uses the arrow key on the keyboard. The smartphone platform uses touchscreen. Virtual reality uses Oculus Touch that has been integrated with Oculus Quest 2. ROS# as a robot API framework with Unity engine is used for the communication process between the robot and each platform. Teleoperation Experiments on SVC devices refer to four parameters including task completion rates, task time, satisfaction, and error counts. all these parameters will be combined into a single usability metric (SUM). The SUM results from SVC devices show 54.9% on Smartphones, 79.5% on VR devices, and 90.4% on Computers.

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Development of Tank-Based Military Robot and Object Tracker

Cited by 12 publications

References 9 publications

Implementing distributed collaboration and applying the YOLO algorithm to robots

Implementing distributed collaboration and applying the YOLO algorithm to robots

Sistem Distribusi Data Kontrol Pada Differential Drive Mobile Robot Menggunakan Robot Operating System

Multiplatform of SVC Device for User Experience Mobile Robot Teleoperation

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