Effective natural communication between human hand and mobile robot using Raspberry-pi

Author(s):  
Prabath Chinthaka ◽  
Chinthaka Premachandra ◽  
Senaka Amarakeerthi
Keyword(s):  
2020 ◽  
Vol 6 (1) ◽  
pp. 29-39
Author(s):  
Juanda Rahimatullah ◽  
Nur Rachman Supadmana Muda ◽  
MHD Iqbal Fahmi ◽  
Zani Akbari

Pada era perang modern, robot digunakan untuk melakukan penyerangan terhadap sasaran untuk memperkecil kerugian personel. Autonomous robot tank merupakan robot yang bergerak otomatis dengan menghindari rintangan yang berada didepannya. Sistem Navigasi Waypoint digunakan pada autonomous robot tank untuk menentukan pergerakan robot dari titik kordinat satu ke titik kordinat lain berdasarkan sistem kordinat bumi, menentukan arah, dan jarak dalam mencari sasaran tanpa harus full control. Operator hanya menentukan titik sasaran yang akan dilakukan penyerangan maka robot tank akan dengan sendirinya bergerak menuju sasaran. Modul GPS akan membaca koordinat dimana posisi dari mobile robot berada, dan modul magnetic compass digunakan untuk menentukan arah tujuan robot tank bergerak. Obstacle avoidance system menerima sinyal dari sensor ultrasonic ketika ada benda halangan didepannya untuk menghindari benda tersebut. Hasil pengujian didapatkan bahwa sistem navigasi waypoint pada robot dapat menuju tepat ke daerah sasaran musuh serta menghindari halangan di depannya dan selanjutnya kembali pada jalur navigasi menuju titik yang sudah ditentukan. Penelitian ini sangat berguna bagi TNI dalam melaksanakan penyerangan maupun pengintaian pada daerah operasi dengan memanfaatkan autonomous robot tank.


2019 ◽  
Vol 4 (1) ◽  
pp. 9-21
Author(s):  
Aryuanto Soetedjo ◽  
M. Ibrahim Ashari ◽  
Cosnas Eric Septian

This paper presents the development of wall following and obstacle avoiding robot using a Fuzzy Logic Controller. The ultrasonic sensors are employed to measure the distances between robot and the wall, and between the robot and the obstacle. A low cost Raspberry Pi camera is employed to measure the left/right distance between the robot and the obstacle. The Fuzzy Logic Controller is employed to steer the mobile robot to follow the wall and avoid the obstacle according to the multi sensor inputs. The outputs of Fuzzy Logic Controller are the speeds of left motor and right motor. The experimental results show that the developed mobile robot could be controlled properly to follow the different wall positions and avoid the different obstacle positions with the high successful rate of 83.33%.


Recently, the automatic movement of mobile robots has played a very important role in the advancement of technology. Automated mobile robot path determination is one of the most important challenges in the science of technology. This paper proposed a path planning method for wheeled mobile robots based on a real time calculation of a predefined distance on a certain map to enable the mobile robot to navigate at indoor areas according to the calculated distances and angles on the paths. The proposed system uses two wheels’ car as a prototype with two optical encoders to determine the number of wheel’s rotations, in order to calculate the needed distances and angles between two points on the navigation path. The system was controlled by a microcomputer Raspberry Pi, programmed using python programming language. The experimental results show an accurate distances and angles measurement for the navigation under a suitable condition.


Author(s):  
Daiki KIYOSE ◽  
Hiroyuki SAKAKIBARA ◽  
Satoshi AOKI ◽  
Tatsuya KITAMURA ◽  
Tomohiro UMETANI

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