Swarming: A Control Algorithm for Swarming Autonomous Robots

Bachelor thesis (2022)

Authors

T.H.J. Hoenderboom Electrical Engineering, Mathematics and Computer Science
I. Hendrikson Electrical Engineering, Mathematics and Computer Science

Contributors

Rangarao Venkatesha Venkatesha Prasad Embedded Systems (mentor)
A. Simha Embedded Systems (graduation committee member)
S. Sharma Embedded Systems (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Thijmen Hoenderboom, Ivar Hendrikson
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Published Date

11-07-2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

A swarm at its most basic description consists of multiple individuals all performing actions based on their immediate surroundings. The challenge for robotics is creating a control algorithm that processes these surroundings and takes appropriate actions as a consequence. The focus of this document is the bird flocking algorithm. For this reason, the main focus points for the control algorithm will be heading alignment, neighbor distance maintenance \& collision avoidance.

Files

BEP_Thesis_control_2_.pdf
(pdf | 1.9 Mb)
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