Take-off and landing sequencing for drones in distribution centers

• Grant number: 23/02399-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: May 01, 2023
• End date: December 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Luiz Fernando Bittencourt
• Grantee: Lucas de Paula Soares
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 14/50937-1 - INCT 2014: on the Internet of the Future, AP.TEM

Abstract

The interest in autonomous systems for transporting people and cargo is increasing in the context of smart cities. Considering a large-scale drone delivery system in a city, it is necessary to take into account a high density of drones and especially the safety of such service. One of the most critical phases is the landing due to the high traffic of drones in the surroundings and the lack of battery power. Based on a work about collision reduction in cruise flight, this work has as main objective to reduce collisions in the landing and takeoff phase in distribution centers through the implementation of algorithms for drone sequencing and experiments in a drone simulator.