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IBA: Intelligent bug algorithm – a novel strategy to navigate mobile robots autonomously

Zohaib, Muhammad; Pasha, Syed Mustafa; Javaid, Nadeem; Iqbal, Jamshed

Authors

Muhammad Zohaib

Syed Mustafa Pasha

Nadeem Javaid



Contributors

Faisal Karim Shaikh
Editor

Bhawani Shankar Chowdhry
Editor

Sherali Zeadally
Editor

Dil Muhammad Akbar Hussain
Editor

Aftab Ahmed Memon
Editor

Muhammad Aslam Uqaili
Editor

Abstract

This research proposes an intelligent obstacle avoidance algorithm to navigate an autonomous mobile robot. The presented Intelligent Bug Algorithm (IBA) over performs and reaches the goal in relatively less time as compared to existing Bug algorithms. The improved algorithm offers a goal oriented strategy by following smooth and short trajectory. This has been achieved by continuously considering the goal position during obstacle avoidance. The proposed algorithm is computationally inexpensive and is easy to tune. The paper also presents the performance comparison of IBA and reported Bug algorithms. Simulation results of the robot navigation in an environment with obstacles demonstrate efficacy and performance of the improved algorithm.

Citation

Zohaib, M., Pasha, S. M., Javaid, N., & Iqbal, J. (2013). IBA: Intelligent bug algorithm – a novel strategy to navigate mobile robots autonomously. In F. K. Shaikh, B. S. Chowdhry, S. Zeadally, D. M. A. Hussain, A. A. Memon, & M. A. Uqaili (Eds.), Communication Technologies, Information Security and Sustainable Development (291-299). Cham: Springer Verlag. https://doi.org/10.1007/978-3-319-10987-9_27

Online Publication Date Sep 11, 2014
Publication Date Jan 1, 2013
Deposit Date Sep 14, 2021
Publisher Springer Verlag
Pages 291-299
Series Title Communications in Computer and Information Science
Series Number 414
Series ISSN 1865-0929
Book Title Communication Technologies, Information Security and Sustainable Development
ISBN 9783319109862
DOI https://doi.org/10.1007/978-3-319-10987-9_27
Keywords Obstacle avoidance; Path planning; Robot navigation; Mobile robots
Public URL https://hull-repository.worktribe.com/output/3797213