Kusuma, Michael Charles Angelo and Rusyadi, Rusman (2019) Designing and Constructing an Autonomous Mobile Robot with Natural Navigation System to Deliver Goods in a Warehouse. Bachelor thesis, Swiss German University.

Preview	Text Michael Kusuma 11501063 TOC.pdf Download (193kB) | Preview
	Text Michael Kusuma 11501063 1.pdf Restricted to Registered users only Download (117kB)
	Text Michael Kusuma 11501063 2.pdf Restricted to Registered users only Download (833kB)
	Text Michael Kusuma 11501063 3.pdf Restricted to Registered users only Download (1MB)
	Text Michael Kusuma 11501063 4.pdf Restricted to Registered users only Download (1MB)
	Text Michael Kusuma 11501063 5.pdf Restricted to Registered users only Download (151kB)
Preview	Text Michael Kusuma 11501063 Ref.pdf Download (94kB) | Preview

Abstract

The purpose of this thesis is to design and construct an autonomous mobile robot with natural navigation system to deliver goods in an industrial environment. Autonomous mobile robot is a comprehensive intelligent system integrating environmental selfperception, dynamic decision-making and planning, behavior control and selfexecution. The mobile robot uses laser radar as the core sensor for the positioning and navigation technology, the mobile robot can explore the unknown environment and obtain the two-dimensional environment map, and can realize the autonomous navigation of the mobile robot. The SLAM (Simultaneous Localization And Mapping) technology and the positioning and navigation technology in the known environment are studied. In the positioning problem, the developed robot uses laser radar and uses particle filter-based Monte Carlo positioning algorithm to obtain global positioning information. Several experiments for the SLAM mapping, autonomous navigation, positioning and navigation function of the robot were designed and tested. The test of the actual performance of the robot positioning and navigation function system in the real scene verifies the feasibility of the adopted system decision mode

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	AGV ; AMR ; ROS ; Autonomous Mapping ; Autonomous Navigation
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ210 Robots (General)
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Adityatama Ratangga
Date Deposited:	20 May 2020 07:00
Last Modified:	20 May 2020 07:00
URI:	http://repository.sgu.ac.id/id/eprint/686

Actions (login required)

View Item