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 and Networked Systems)
Contributor
Venkatesha Prasad, Ranga Rao (mentor) 
Majid, A.Y. (mentor)
Verhoeven, C.J.M. (graduation committee)
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