dc.contributor.advisor | Rahman, Dr. Md. Khaliur | |
dc.contributor.author | Noor, Nolok | |
dc.contributor.author | Haq, Mohammad Wasiul | |
dc.date.accessioned | 2014-09-10T09:01:57Z | |
dc.date.available | 2014-09-10T09:01:57Z | |
dc.date.copyright | 2014 | |
dc.date.issued | 2014-08 | |
dc.identifier.other | ID 10121080 | |
dc.identifier.other | ID 10121076 | |
dc.identifier.uri | http://hdl.handle.net/10361/3589 | |
dc.description | This thesis report submitted in partial fulfillment of the requirement for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2014. | en_US |
dc.description | Cataloged from PDF version of thesis report. | |
dc.description | Includes bibliographical references (page 39). | |
dc.description.abstract | The object of this project is to develop a program on android device to control a robot to collect discarded material using human voice and can detect hindrance. In this recent time, android device as a user and as developer is become more popular. So we have selected android based device which have Google voice command and developed an application to control the robot to get a desirable output. We can communicate with the robot from the android device by a Bluetooth module which is connected to an arduino installed in the robot. This robot is also can detect obstacle and avoidance using sonar. It transmits phonetic pulses in its surroundings and for the echoes from the objects nearby that lie within its working range, hence detects obstacles. The robot is installed with Omni wheel which is a special function of this robot. This Omni wheel that provides easy 360° movement propel with rotational and sideways maneuverability. The outcome of the project is a combination of embedded computing and programming. | en_US |
dc.description.statementofresponsibility | Nolok Noor,
Mohammad Wasiul Haq | |
dc.format.extent | 39 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | BRAC University Internship reports 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 | Electrical and electronic engineering | en_US |
dc.subject | Obstacle detection | en_US |
dc.subject | Voice recognition | en_US |
dc.subject | Omni wheel | en_US |
dc.subject | Android | en_US |
dc.subject | human- robot interaction | en_US |
dc.title | I-bin : the intelligent and entertaining bin | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Electrical and Electronic Engineering, BRAC University | |
dc.description.degree | B. Electrical and Electronic Engineering | |