A greedy, deterministic sampling-based path planning algorithm for AGV

This paper proposes a novel global path planning algorithm for Automated Guided Vehicles (AGVs). The algorithm extends the path with incremental sampling, using a greedy heuristic strategy to prioritize samples close to the goal. It also employs a vertex evaluation scheme to navigate around the obst...

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Bibliographic Details
Main Author: Liu, Zhenqi
Other Authors: Su Rong
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173331
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Institution: Nanyang Technological University
Language: English

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