Gosal, Jason Fernandez Tatuil and Rusyadi, Rusman and Sinaga, Erikson F. (2017) Implementation Camera Vision For Object Tracking In Quadruped Robot. Bachelor thesis, Swiss German University.
|
Text
Jason Gosal 11110041 TOC.pdf Download (481kB) | Preview |
|
Text
Jason Gosal 11110041 1.pdf Restricted to Registered users only Download (120kB) |
||
Text
Jason Gosal 11110041 2.pdf Restricted to Registered users only Download (303kB) |
||
Text
Jason Gosal 11110041 3.pdf Restricted to Registered users only Download (1MB) |
||
Text
Jason Gosal 11110041 4.pdf Restricted to Registered users only Download (1MB) |
||
Text
Jason Gosal 11110041 5.pdf Restricted to Registered users only Download (100kB) |
||
|
Text
Jason Gosal 11110041 Ref.pdf Download (190kB) | Preview |
Abstract
The purpose of this thesis is to develop a quadruped robot and to implement camera vision system for object tracking. The camera vision system intended to be used for tracking an object while the legged robot will be move to follow the object. The main scope of the thesis is the development of the camera vision system which enables the robot to tracking a particular object and the performance of the robot while moving. The robot will be controlled manually using Laptop and automatically by using camera to detect object. The input command will be transmitted wirelessly using Wi-Fi adapter as the communication media.
Item Type: | Thesis (Bachelor) |
---|---|
Uncontrolled Keywords: | Legged Robot; Quadruped Robot; Inverse Kinematics; Object Tracking |
Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ210 Robots (General) |
Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
Depositing User: | Astuti Kusumaningrum |
Date Deposited: | 14 May 2020 15:12 |
Last Modified: | 14 May 2020 15:12 |
URI: | http://repository.sgu.ac.id/id/eprint/367 |
Actions (login required)
View Item |