Autonomous urban search robot
Date of Publication
2017
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Manufacturing Engineering and Management
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Thesis Adviser
Marlon Luis M. Musngi
Defense Panel Member
Marlon Luis M. Musngi
Renann G. Baldovino
Abstract/Summary
The project describes the approach of the researchers in designing and fabricating a wirelessly controlled mobile robotic platform capable of navigating an unknown environment, creating a 3D reconstruction of said environment, all while detecting any human face it encounters. This purpose of this project is to assist rescue team in disaster scenarios by providing a computer-generated model of the environment, allowing rescue teams to analyze and learn the general layout of the area without immediately exposing themselves to the risks of traversing unknown environments, as well as identifying the presence of detected humans within the area, allowing the team to plan efficient searching routes that prioritize sections shown to potentially contain a survivor. This was done by using a mobile platform capable of traversing the area and avoid obstacles through either manual control or autonomous navigation, mounting an RGB-D camera to generate a graphical representation of the traversed area on the mobile platform, and running a face detection algorithm that uses a webcam to alert the viewer of any detected faces by playing an audial cue as well as output the recorded video of the platform's operations for review and analysis. Upon examination of the results, it was found that the fabricated platform is indeed, capable of exploring an unknown area, developing a close approximation of the area using a 3D map, detecting faces scattered throughout the area, all while performing wirelessly, separate from the viewing terminal. This research shows the potential that robots possess in assisting rescue operations.
Abstract Format
html
Language
English
Format
Accession Number
TU21537
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
xviii, 123 leaves : illustrations (some color) ; 28 cm.
Keywords
Rescue work--Automation
Recommended Citation
Chan, R. C., Dacumos, C. D., Estera, E. T., Siy, J. P., & Uy, D. S. (2017). Autonomous urban search robot. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/9936
