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Path planning based on inflated medial axis and probabilistic roadmap for duct environment

Mohd. Kamil, Ahmad Ridhwan and Shithil, Shaekh Mohammad and Ismail, Zool Hilmi and Mahmud, Mohd. Saiful Azimi and Mohd. Faudzi, Ahmad Athif (2022) Path planning based on inflated medial axis and probabilistic roadmap for duct environment. In: Computational Intelligence in Machine Learning Select Proceedings of ICCIML 2021. Lecture Notes in Electrical Engineering, 834 (NA). Springer Science and Business Media Deutschland GmbH, Singapore, pp. 441-449. ISBN 978-981168483-8

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Official URL: http://dx.doi.org/10.1007/978-981-16-8484-5_42

Abstract

This paper proposes an inflated medial axis based probabilistic roadmap (PRM) for the duct environment. The study intends to explore a sampling strategy for PRM toward clearance-driven path planning. Sampled nodes are constrained only inside the inflated medial axis area. The medial axis is generated from skeletonizing the map and inflate the skeletal diagram. To evaluate effectiveness of the proposed method, experiments were carried out on a reference map generated by simultaneous localization and mapping (SLAM) from an actual mockup duct environment. Experiments conducted showed the proposed method able to produce a path trajectory with clearance-driven behavior. The method is very useful in narrow spaces such as ducting, which required a safe distance when navigating autonomously in the environment.

Item Type:Book Section
Uncontrolled Keywords:medial axis, path planning, roadmap, skeletonized
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Faculty of Engineering - School of Electrical
ID Code:100674
Deposited By: Yanti Mohd Shah
Deposited On:30 Apr 2023 08:33
Last Modified:30 Apr 2023 08:33

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