Local path planning for autonomous mobile robots by integrating modified dynamic‐window approach and improved follow the gap method

Author:

Hossain Tagor1ORCID,Habibullah Habibullah1,Islam Rafiqul1,Padilla Ricardo V.2

Affiliation:

1. Faculty of UniSA STEM University of South Australia Mawson Lakes South Australia Australia

2. SESE Southern Cross University Lismore New South Wales Australia

Funder

University of South Australia

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference48 articles.

1. Navigation of mobile robot using the pso particle swarm optimization;Ahmadzadeh S.;Journal of Academic and Applied Studies,2012

2. Arras K. O. Persson J. Tomatis N. &Siegwart R.(2002). Real‐time obstacle avoidance for polygonal robots with a reduced dynamic window. InProceedings 2002 IEEE International Conference on Robotics and Automation(Cat. No.02CH37292) (Vol. 3 pp.3050–3055).

3. Voronoi diagrams—a survey of a fundamental geometric data structure

4. Artificial potential field with discrete map transformation for feasible indoor path planning;Azmi M. Z.;Applied Sciences,2020

5. Vector field histogram* with look‐ahead tree extension dependent on time variable environment;Babinec A.;Transactions of the Institute of Measurement and Control,2018

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