Intelligent path planning and decision making for last-mile delivery robot

This project is a final year project related to one of the mentioned research projects, Project A2. Its title is ‘Robust Urban Navigation for Autonomous Delivery Robot Platform’. The aim of Project A2 is to enhance the usefulness of Continental’s delivery robot, called Corriere. This improvement...

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Main Author: Thong, Sue Hin
Other Authors: Wang Dan Wei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/177294
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1772942024-05-31T15:44:44Z Intelligent path planning and decision making for last-mile delivery robot Thong, Sue Hin Wang Dan Wei School of Electrical and Electronic Engineering EDWWANG@ntu.edu.sg Engineering This project is a final year project related to one of the mentioned research projects, Project A2. Its title is ‘Robust Urban Navigation for Autonomous Delivery Robot Platform’. The aim of Project A2 is to enhance the usefulness of Continental’s delivery robot, called Corriere. This improvement includes offering optimized AI-based navigation and scalable place identification that can be used in day as well as night time, which could help solve issues caused by lack of staff members, save on costs for a long term period and boost reliability and capacity of delivery services. This final year project report is documented with all the work done, and it is divided into these four chapters: Chapter 1 Introduction, Chapter 2 Literature Review, Chapter 3 Project Implementation, Chapter 4 Conclusion, and Future Work. In Chapter 3 there are 3 stages which includes: (1) data collecting, (2) map production, and (3) path planning. Bachelor's degree 2024-05-27T06:48:12Z 2024-05-27T06:48:12Z 2024 Final Year Project (FYP) Thong, S. H. (2024). Intelligent path planning and decision making for last-mile delivery robot. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177294 https://hdl.handle.net/10356/177294 en 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
spellingShingle Engineering
Thong, Sue Hin
Intelligent path planning and decision making for last-mile delivery robot
description This project is a final year project related to one of the mentioned research projects, Project A2. Its title is ‘Robust Urban Navigation for Autonomous Delivery Robot Platform’. The aim of Project A2 is to enhance the usefulness of Continental’s delivery robot, called Corriere. This improvement includes offering optimized AI-based navigation and scalable place identification that can be used in day as well as night time, which could help solve issues caused by lack of staff members, save on costs for a long term period and boost reliability and capacity of delivery services. This final year project report is documented with all the work done, and it is divided into these four chapters: Chapter 1 Introduction, Chapter 2 Literature Review, Chapter 3 Project Implementation, Chapter 4 Conclusion, and Future Work. In Chapter 3 there are 3 stages which includes: (1) data collecting, (2) map production, and (3) path planning.
author2 Wang Dan Wei
author_facet Wang Dan Wei
Thong, Sue Hin
format Final Year Project
author Thong, Sue Hin
author_sort Thong, Sue Hin
title Intelligent path planning and decision making for last-mile delivery robot
title_short Intelligent path planning and decision making for last-mile delivery robot
title_full Intelligent path planning and decision making for last-mile delivery robot
title_fullStr Intelligent path planning and decision making for last-mile delivery robot
title_full_unstemmed Intelligent path planning and decision making for last-mile delivery robot
title_sort intelligent path planning and decision making for last-mile delivery robot
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177294
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