Autonomous navigation system

Even after three decades, there are still few real-world strategies that can be used because most techniques in use are based on exaggeratedly optimistic presumptions. When using multiple robots, the agents besides steer clear of obstacles but also prevent collisions with one another, the effects...

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Main Author: Au, Yi Xian
Other Authors: Lam Siew Kei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
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Online Access:https://hdl.handle.net/10356/166735
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1667352023-05-12T15:36:25Z Autonomous navigation system Au, Yi Xian Lam Siew Kei School of Computer Science and Engineering ASSKLam@ntu.edu.sg Engineering::Computer science and engineering Even after three decades, there are still few real-world strategies that can be used because most techniques in use are based on exaggeratedly optimistic presumptions. When using multiple robots, the agents besides steer clear of obstacles but also prevent collisions with one another, the effects of having unknowledgeable or only vaguely understood maps and states estimate drift increases dramatically [11]. Robot Operating System (ROS) provides a system architecture that enables numerous agencies to independently navigate between user-selected local interest points, the implementation of frequently utilized functionality, message-passing between processes, and administration among the solutions of what an operating system would typically provide. The purpose of this project is to develop low-level device control and hardware abstraction [10]. We suggest a multi-robot global planning pipeline that is hierarchical that prioritizes the agents to prevent collisions between them and compute their trajectories toward the specified target. The generated worldwide pathways are distributed to the agents and used as recommendation data by each agent's internal local planner. The objective that will be done in this research is that we will have to feed the multi-robot simulation to ORB-SLAM3 standalone. After that will introduce covins into the simulation. The project is incomplete due to the issue faced while trying to run ORB-SLAM3 standalone and is unsolved, after uncountable times of trying to solve it. Bachelor of Engineering (Computer Engineering) 2023-05-11T13:07:25Z 2023-05-11T13:07:25Z 2023 Final Year Project (FYP) Au, Y. X. (2023). Autonomous navigation system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166735 https://hdl.handle.net/10356/166735 en SCSE22-0151 application/pdf application/vnd.ms-powerpoint Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Au, Yi Xian
Autonomous navigation system
description Even after three decades, there are still few real-world strategies that can be used because most techniques in use are based on exaggeratedly optimistic presumptions. When using multiple robots, the agents besides steer clear of obstacles but also prevent collisions with one another, the effects of having unknowledgeable or only vaguely understood maps and states estimate drift increases dramatically [11]. Robot Operating System (ROS) provides a system architecture that enables numerous agencies to independently navigate between user-selected local interest points, the implementation of frequently utilized functionality, message-passing between processes, and administration among the solutions of what an operating system would typically provide. The purpose of this project is to develop low-level device control and hardware abstraction [10]. We suggest a multi-robot global planning pipeline that is hierarchical that prioritizes the agents to prevent collisions between them and compute their trajectories toward the specified target. The generated worldwide pathways are distributed to the agents and used as recommendation data by each agent's internal local planner. The objective that will be done in this research is that we will have to feed the multi-robot simulation to ORB-SLAM3 standalone. After that will introduce covins into the simulation. The project is incomplete due to the issue faced while trying to run ORB-SLAM3 standalone and is unsolved, after uncountable times of trying to solve it.
author2 Lam Siew Kei
author_facet Lam Siew Kei
Au, Yi Xian
format Final Year Project
author Au, Yi Xian
author_sort Au, Yi Xian
title Autonomous navigation system
title_short Autonomous navigation system
title_full Autonomous navigation system
title_fullStr Autonomous navigation system
title_full_unstemmed Autonomous navigation system
title_sort autonomous navigation system
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/166735
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