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Path following of autonomous agents under the effect of noise

Raghuwaiya, Krishna and Sharma, Bibhya N. and Vanualailai, Jito and Parma, Nand (2018) Path following of autonomous agents under the effect of noise. In: Advances in Swarm Intelligence: ICSI 2018. Lecture Notes in Computer Science . Springer, Cham, pp. 3-14. ISBN 978-3-319-93817-2

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Abstract

In this paper, we adopt the architecture of the Lyapunov-based Control Scheme (LbCS) and integrate a leader-follower approach to propose a collision-free path following strategy of a group of mobile car-like robots. A robot is assigned the responsibility of a leader, while the follower robots position themselves relative to the leader so that the path of the leader robot is followed with arbitrary desired clearance by the follower robot, avoiding any inter-robot collision while navigating in a terrain with obstacles under the influence of noise. A set of artificial potential field functions is proposed using the control scheme for the avoidance of obstacles and attraction to their designated targets. The effectiveness of the proposed nonlinear acceleration control laws is demonstrated through computer simulations which prove the efficiency of the control technique and also demonstrates its scalability for larger groups.

Item Type: Book Chapter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Arts, Law and Education (FALE) > School of Education
Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
Depositing User: Ms Shalni Sanjana
Date Deposited: 05 Feb 2020 15:28
Last Modified: 10 Mar 2020 14:36
URI: http://repository.usp.ac.fj/id/eprint/11966
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