Towards a Swarm of Robots for Detecting Breaches in Social Distancing
Saaybi, Serge (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Embedded and Networked Systems)
Venkatesha Prasad, Ranga Rao (mentor)
Degree granting institution
Majid, A.Y. (mentor)
Verhoeven, C.J.M. (graduation committee)
Delft University of Technology
Electrical Engineering | Embedded Systems
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.
To reference this document use:
Deep Reinforcement Learning
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© 2022 Serge Saaybi