Path planning and simulation for two aerial robots

Aerial robot path planning is a critical aspect of autonomous aerial systems, enabling efficient navigation and obstacle avoidance in complex environments. This paper provides an overview of recent advancements and challenges in aerial robot path planning algorithms. Various techniques, including gr...

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Main Author: Mi, Sicong
Other Authors: Hu Guoqiang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176443
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1764432024-05-24T15:49:31Z Path planning and simulation for two aerial robots Mi, Sicong Hu Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering Physics Other Aerial robot Path planning Aerial robot path planning is a critical aspect of autonomous aerial systems, enabling efficient navigation and obstacle avoidance in complex environments. This paper provides an overview of recent advancements and challenges in aerial robot path planning algorithms. Various techniques, including grid-based methods, sampling-based algorithms, optimization-based approaches, and machine learning-based methods, are discussed. Challenges such as real-time computation, dynamic environments, uncertainty modelling, and scalability are addressed. Additionally, the integration of path planning with perception, localization, and control for seamless operation in real-world scenarios is explored. Future directions for research and potential applications in fields such as surveillance, search and rescue, infrastructure inspection, and environmental monitoring are also discussed. In addition to discussing technical advancements, the paper explores emerging trends in aerial robot path planning, including the utilization of swarm intelligence, cooperative planning strategies, and human-in-the loop approaches. It also considers the implications of regulatory frameworks and safety considerations on path planning algorithms for UAVs. Finally, the paper outlines potential future directions for research in aerial path planning, including the exploration of hybrid approaches, enhanced decision-making algorithms, and the development of standardized benchmarks for performance evaluation. It emphasizes the importance of continued innovation in path planning techniques to support the growing applications of UAVs in fields such as surveillance, mapping, disaster response, and urban air mobility. Bachelor's degree 2024-05-21T07:16:59Z 2024-05-21T07:16:59Z 2024 Final Year Project (FYP) Mi, S. (2024). Path planning and simulation for two aerial robots. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176443 https://hdl.handle.net/10356/176443 en P1028-222 application/pdf 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
Physics
Other
Aerial robot
Path planning
spellingShingle Engineering
Physics
Other
Aerial robot
Path planning
Mi, Sicong
Path planning and simulation for two aerial robots
description Aerial robot path planning is a critical aspect of autonomous aerial systems, enabling efficient navigation and obstacle avoidance in complex environments. This paper provides an overview of recent advancements and challenges in aerial robot path planning algorithms. Various techniques, including grid-based methods, sampling-based algorithms, optimization-based approaches, and machine learning-based methods, are discussed. Challenges such as real-time computation, dynamic environments, uncertainty modelling, and scalability are addressed. Additionally, the integration of path planning with perception, localization, and control for seamless operation in real-world scenarios is explored. Future directions for research and potential applications in fields such as surveillance, search and rescue, infrastructure inspection, and environmental monitoring are also discussed. In addition to discussing technical advancements, the paper explores emerging trends in aerial robot path planning, including the utilization of swarm intelligence, cooperative planning strategies, and human-in-the loop approaches. It also considers the implications of regulatory frameworks and safety considerations on path planning algorithms for UAVs. Finally, the paper outlines potential future directions for research in aerial path planning, including the exploration of hybrid approaches, enhanced decision-making algorithms, and the development of standardized benchmarks for performance evaluation. It emphasizes the importance of continued innovation in path planning techniques to support the growing applications of UAVs in fields such as surveillance, mapping, disaster response, and urban air mobility.
author2 Hu Guoqiang
author_facet Hu Guoqiang
Mi, Sicong
format Final Year Project
author Mi, Sicong
author_sort Mi, Sicong
title Path planning and simulation for two aerial robots
title_short Path planning and simulation for two aerial robots
title_full Path planning and simulation for two aerial robots
title_fullStr Path planning and simulation for two aerial robots
title_full_unstemmed Path planning and simulation for two aerial robots
title_sort path planning and simulation for two aerial robots
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176443
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