The Navigator
Date of Publication
2002
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Manufacturing Engineering and Management
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Thesis Adviser
Mark Jannson L. Kho
Defense Panel Chair
Christopher Syling
Defense Panel Member
Edgardo Guison
Phyllis L. Lim
Abstract/Summary
The Navigator' is a self-navigating autonomous ground vehicle capable of detecting obstacles along its calculated shortest path. This is also capable of generating its own path after the best path generated is not navigable because of the obstacles encountered. Unlike its predecessors, this is equipped with emergency stop buttons and warning lights for the safety of both the user and the machine. It has a user-friendly interface for the easy supplication of data needed. It will also be capable of multiple obstacles avoidance. The said machine is seen to be of great use to industries that are dangerous for humans and may also be applied in industries that needs little human intervention. Machines like this contributes greatly to the advancing world of today.
This is equipped with an electrical, mechanical, and software system. The electrical system is composed of the motor control, motor driver, and sensor circuit. The motor circuit will be responsible in supplying the appropriate current and signal to the motors with built in shaft encoder in order to successfully navigate to the set destination at a set weight and speed. The sensor circuit is used receive and send signals from the infrared sensors to identify whether a path is passable or not. The mechanical parts will be driven by the electrical system, which responds to the software program as embedded to the on-board computer of the vehicle. The applied software system may be identified as an 'expert system' since it will be able to drive capabilities such as path derivation, obstacle detection and avoidance.
The main goal and concept for the navigator is for it to reach its set destination autonomously, after all the data needed has been supplied.
Abstract Format
html
Language
English
Format
Accession Number
TU15277
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
60, [61] leaves : ill. ; 28 cm.
Keywords
Automated guided vehicle systems; Machine design
Recommended Citation
Balolong, E., Gapasin, A., Garcia, N., Garcia, R., & Pereja, R. (2002). The Navigator. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14570
