Novel algorithm for mobile robot path planning in constrained environment
Artikel i vetenskaplig tidskrift, 2022

This paper presents a development of a novel path planning algorithm, called Generalized Laser simulator (GLS), for solving the mobile robot path planning problem in a two-dimensional map with the presence of constraints. This approach gives the possibility to find the path for a wheel mobile robot considering some constraints during the robot movement in both known and unknown environments. The feasible path is determined between the start and goal positions by generating wave of points in all direction towards the goal point with adhering to constraints. In simulation, the proposed method has been tested in several working environments with different degrees of complexity. The results demonstrated that the proposed method is able to generate efficiently an optimal collision-free path. Moreover, the performance of the proposed method was compared with the A-star and laser simulator (LS) algorithms in terms of path length, computational time and path smoothness. The results revealed that the proposed method has shortest path length, less computational time and the best smooth path. As an average, GLS is faster than A∗ and LS by 7.8 and 5.5 times, respectively and presents a path shorter than A∗ and LS by 1.2 and 1.5 times. In order to verify the performance of the developed method in dealing with constraints, an experimental study was carried out using a Wheeled Mobile Robot (WMR) platform in labs and roads. The experimental work investigates a complete autonomous WMR path planning in the lab and road environments using a live video streaming. Local maps were built using data from a live video streaming with real-time image processing to detect segments of the analogous-road in lab or real-road environments. The study shows that the proposed method is able to generate shortest path and best smooth trajectory from start to goal points in comparison with laser simulator.

Generalized laser simulator

Wheeled mobile robot

Global path panning

Path planning

Local path planning


Aisha Muhammad

Universiti Malaysia Pahang

Bayero University

Mohammed A.H. Ali

University of Malaya

Sherzod Turaev

United Arab Emirates University

Ibrahim Haruna Shanono

Bayero University

Universiti Malaysia Pahang

Fadhl Mohammad Omar Hujainah

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Mohd Nashrul Mohd Zubir

University of Malaya

Muhammad Khairi Faiz

University of Malaya

Erma Rahayu Mohd Faizal

University of Malaya

Rawad Abdulghafor

International Islamic University Malaysia

Computers, Materials and Continua

1546-2218 (ISSN) 1546-2226 (eISSN)

Vol. 71 2 2697-2719


Robotteknik och automation

Datavetenskap (datalogi)

Datorseende och robotik (autonoma system)



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