Date of Publication

4-2025

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Manufacturing Engineering and Management

Subject Categories

Biomedical Engineering and Bioengineering

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Thesis Advisor

Michael Manguerra
Richard Tan Ai

Defense Panel Chair

Marlon Musngi

Defense Panel Member

Rhen Anjerome Bedruz
Catherine Manuela Ramos

Abstract (English)

Factory work demands coordinated hand movements to carry out tasks efficiently. In this line of work, repetitive manual labor and physically demanding tasks can lead to fatigue and reduced precision, impacting overall productivity and worker safety. To address this, the research explores the integration of Force Myography (FMG) technology as a non-invasive method for robotic control in factory operations, focusing on package sorting applications using the Dobot Magician robotic arm. The study focuses on FMG as the primary control mechanism, wherein the fabricated FMG band detects and analyzes signals generated during muscle contractions. This allows for intuitive robotic manipulation through biomechanics and human-machine interaction. Signal processing techniques and machine learning were applied to translate muscle activity into different robotic arm commands, ensuring responsive and efficient motion control for sorting tasks. The system was tested using a controlled setup to mimic a real-world factory setting for evaluating its accuracy and responsiveness. Upon completion of 10 sorting Trials, the system achieved an average gesture prediction accuracy of 81.55%. The study contributes to the advancement of non-invasive muscle signal-based robotic control technology, demonstrating its potential in not only in factory operations, but also in expanding its application to assistive technologies.

Abstract Format

html

Abstract (Filipino)

None

Abstract Format

html

Language

English

Format

Electronic

Keywords

Robotic exoskeletons

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Embargo Period

4-13-2025

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