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close this section of the library Airplanes | Radio control Vehicles, remotely piloted


View the PDF document A well-spaced and cohesive swarm model with applications to unmanned aerial vehicles
Author: Devi, Amrita
Institution: The University of the South Pacific
Award: M.Sci.
Subject: Drone aircraft | Control systems, Drone aircraft | Automatic control, Drone aircraft | Mathematical models, Airplanes | Radio control Vehicles, remotely piloted
Date: 2018
Call No.: UG 1242 .D7 D48 2018
BRN: 1371623
Copyright:10-20% of this thesis may be copied without the authors written permission

Abstract: Swarming in nature serves as an "existence of proof" that an artificial swarm, such as a cooperative multi-agent robotic system, can achieve collective and desired outcomes. Such outcomes are intriguing patterns illustrated by organisms in a biological swarm. These emergent patterns from natural swarming are stimulating new directions of research in the control of multi-agent robotic systems. The inculcation of swarming principles in motion planning of robots is currently an active area of research as it satisfies stringent time, manpower, monetary demands and enhances performance and robustness. In this thesis, we consider the motion planning of robots focusing on the well-known find-path problem.
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