Date of Publication

12-10-2022

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Engineering

Subject Categories

Controls and Control Theory | Robotics

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Thesis Advisor

Donabel de Veas-Abuan

Defense Panel Chair

Lawrence Materum

Defense Panel Member

Carlo Noel Ochotorena
Cesar Llorente

Abstract/Summary

In 2019, the Novel Coronavirus Disease (COVID-19) has been categorized as a pandemic. This disease can be transmitted via droplets that stay on items or surfaces within a specific number of hours. Which is why the researchers aimed to develop a wirelessly controlled robot arm and platform capable of picking up objects detected via object detection. Robot arm movements are done via the use of inverse kinematics. Meanwhile, a custom object detection model that can detect objects of interest will be trained and implemented in this project. To achieve this, the researchers utilize various open-source libraries, microcontrollers, and readily available materials to construct and program the entire system. At the end of this research, the prototype was capable of reliably detecting objects of interest along with a grab and dispose success rate of 88%. Instruction data can be properly sent and received, and dual webcam image transfer reaches up to 1.72 frames per second.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Robots—Control systems; Image converters

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Embargo Period

12-8-2023

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