| dc.contributor.advisor | Ali, Abu Mohammad Hammad | |
| dc.contributor.author | Al Hasnaeen, Fahim | |
| dc.contributor.author | Tabassum, Tasmia | |
| dc.date.accessioned | 2013-09-09T05:23:39Z | |
| dc.date.available | 2013-09-09T05:23:39Z | |
| dc.date.copyright | 2013 | |
| dc.date.issued | 9/1/2013 | |
| dc.identifier.other | ID 09201004 | |
| dc.identifier.other | ID 07210002 | |
| dc.identifier.uri | http://hdl.handle.net/10361/2748 | |
| dc.description | Cataloged from PDF version of thesis report. | |
| dc.description | Includes bibliographical references (page 21). | |
| dc.description | This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013. | en_US |
| dc.description.abstract | This report presents the study on a stair-climbing robot which is manually controlled using radio frequency (RF). RF control implements the use of wireless technology to propagate data. The robot is able to receive and send command signal between the robot and the controller by using the RF signal. The motors are attached to two wheels through two shafts. This report includes the artificial intelligence, sonar sensors, reed switch, and the circuitry used to conduct the stair-climbing robot. | en_US |
| dc.description.statementofresponsibility | Fahim Al Hasnaeen | |
| dc.description.statementofresponsibility | Tasmia Tabassum | |
| dc.format.extent | 21 pages | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Computer science and engineering | |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Sonar Sensors | en_US |
| dc.subject | Reed Switch | en_US |
| dc.subject | Stair-climbing robot | en_US |
| dc.title | Designing a rescue robot with AI techniques to navigate a location | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
| dc.description.degree | B. Computer Science and Engineering | |
