RobotX: development of surface vehicle's flying drone for augmented perception
This abstract outlines the development of a competitive Unmanned Aerial Vehicle (UAV) designed and built for the RobotX 2024 Challenge. The UAV is controlled autonomously without the requirement of an onboard crew. It integrates technologies in perception, navigation, and control systems during o...
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Nanyang Technological University
2025
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sg-ntu-dr.10356-1818642025-01-04T16:54:52Z RobotX: development of surface vehicle's flying drone for augmented perception Tai, Benjamin Joe Yew Xie Ming School of Mechanical and Aerospace Engineering mmxie@ntu.edu.sg Engineering RobotX UAV Unmanned aerial vehicle Drone Perception Control Autonomous This abstract outlines the development of a competitive Unmanned Aerial Vehicle (UAV) designed and built for the RobotX 2024 Challenge. The UAV is controlled autonomously without the requirement of an onboard crew. It integrates technologies in perception, navigation, and control systems during operation. Notable features include sophisticated computer vision algorithms for detecting and avoiding obstacles, precise positioning through sensor fusion, and an adaptive control algorithm to effectively navigate the challenges of maritime environments. The UAV’s capabilities are evaluated through computer simulations coupled with physical testing. It should be able to complete the competition tasks efficiently and effectively. This Final Year Project (FYP) contributes to the progress of autonomous aerial robotics by presenting a resilient and adaptable drone for the competition. Bachelor's degree 2025-01-02T07:12:07Z 2025-01-02T07:12:07Z 2024 Final Year Project (FYP) Tai, B. J. Y. (2024). RobotX: development of surface vehicle's flying drone for augmented perception. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181864 https://hdl.handle.net/10356/181864 en application/pdf Nanyang Technological University |
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Engineering RobotX UAV Unmanned aerial vehicle Drone Perception Control Autonomous |
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Engineering RobotX UAV Unmanned aerial vehicle Drone Perception Control Autonomous Tai, Benjamin Joe Yew RobotX: development of surface vehicle's flying drone for augmented perception |
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This abstract outlines the development of a competitive Unmanned Aerial Vehicle (UAV) designed and built for the RobotX 2024 Challenge.
The UAV is controlled autonomously without the requirement of an onboard crew. It integrates technologies in perception, navigation, and control systems during operation. Notable features include sophisticated computer vision algorithms for detecting and avoiding obstacles, precise positioning through sensor fusion, and an adaptive control algorithm to effectively navigate the challenges of maritime environments.
The UAV’s capabilities are evaluated through computer simulations coupled with physical testing. It should be able to complete the competition tasks efficiently and effectively. This Final Year Project (FYP) contributes to the progress of autonomous aerial robotics by presenting a resilient and adaptable drone for the competition. |
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Xie Ming |
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Xie Ming Tai, Benjamin Joe Yew |
format |
Final Year Project |
author |
Tai, Benjamin Joe Yew |
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Tai, Benjamin Joe Yew |
title |
RobotX: development of surface vehicle's flying drone for augmented perception |
title_short |
RobotX: development of surface vehicle's flying drone for augmented perception |
title_full |
RobotX: development of surface vehicle's flying drone for augmented perception |
title_fullStr |
RobotX: development of surface vehicle's flying drone for augmented perception |
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RobotX: development of surface vehicle's flying drone for augmented perception |
title_sort |
robotx: development of surface vehicle's flying drone for augmented perception |
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Nanyang Technological University |
publishDate |
2025 |
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https://hdl.handle.net/10356/181864 |
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1821237103395078144 |