Designing a rescue robot with AI techniques to navigate a location
| 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.issued | 9/1/2013 | |
| 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. | |
| 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. | |
| dc.identifier.other | ID 09201004 | |
| dc.identifier.other | ID 07210002 | |
| dc.identifier.other | https://dspace.bracu.ac.bd/server/api/core/items/f0e65847-6e32-4b98-b77b-152c2b26382e | |
| dc.identifier.uri | http://hdl.handle.net/10361/2748 | |
| dc.language.iso | en | |
| dc.publisher | BRAC University | |
| dc.source | BRAC University Institutional Repository | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Sonar Sensors | |
| dc.subject | Reed Switch | |
| dc.subject | Computer science and engineering | |
| dc.subject | Stair-climbing robot | |
| dc.title | Designing a rescue robot with AI techniques to navigate a location | |
| dc.type | Thesis |
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