Towards a Swarm of Robots for Detecting Breaches in Social Distancing

Master thesis (2022)

Authors

S.C.E. Saaybi Electrical Engineering, Mathematics and Computer Science

Contributors

Ranga Rao Venkatesha Prasad Embedded Systems - EEMCS (mentor)
A.Y. Majid Electronics - EEMCS (mentor)
C.J.M. Verhoeven Electronics - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Serge Saaybi
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Published Date

19-01-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Robotic agents can continuously provide feedback to people based on their behaviors. For instance, a robot swarm can remind a group of people to respect social distancing guidelines during a pandemic or discourage unwanted behavior such as littering. However, developing a swarm robot to operate in realistic situations is challenging: a robot requires significant resources to operate in the real world, yet costs need to be kept low to produce the robots en masse.
To develop a swarm robot for encouraging social distancing, we therefore, compare the performance of different robotic navigation algorithms and various vision sensors and algorithms for detecting social distances breaches.

Files

Serge_Saaybi_Thesis_Report.pdf
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