Towards a Swarm of Robots for Detecting Breaches in Social Distancing

Title

Towards a Swarm of Robots for Detecting Breaches in Social Distancing

 Author

Saaybi, Serge (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Embedded Systems)

Contributor

Venkatesha Prasad, Ranga Rao (mentor) ORCID 0000-0001-7443-7641
Majid, A.Y. (mentor)
Verhoeven, C.J.M. (graduation committee) ORCID 0000-0003-4248-8596

 Degree granting institution

Delft University of Technology

 Programme

Electrical Engineering | Embedded Systems

 Date

2022-01-19

 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.

 Subject

Robotics
Deep Reinforcement Learning
Computer Vision

 To reference this document use:

http://resolver.tudelft.nl/uuid:f4f095ac-6d84-4bac-8767-9d1cf11fc524

 Embargo date

2024-01-19

 Part of collection

Student theses

 Document type

master thesis

 Rights

© 2022 Serge Saaybi
Files
PDF Serge_Saaybi_Thesis_Report.pdf 5.01 MB
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