Internship Student - 2021
Xijing is the master student in information technology and information technology management. Xijing have learned many subjects in machine learning and data analytic. She is a member in the drones lab. Her duty is researches on demonstration of swarm-based drones. Her other interest includes activities such as travelling and reading.
Swarm-based Drone Delivery Demonstration
Drones are unmanned aircrafts that operate with various degrees of autonomy. The wide availability of drones opens opportunities for a wide number of applications including package delivery. Drones for delivery present some unique challenges to fully deliver on their potential. In particular, drones have limited payload and battery capacity. There are instances where there is a need to deliver goods by a deadline and which weigh more than the maximum of a single drone’s payload. In this case, the use of drone swarms is an effective alternative to address the aforementioned constraints for the timely delivery of heavier and/or multiple packages which go beyond the capability of one single drone. Drone swarms are teams of autonomous unmanned aerial vehicles that act as a collective entity. The goal of the project is to set up a drone swarm using available drones (DJI Edu Tello) and implement a swarm-based drone delivery demonstration given the delivery environment constraints.
- Constraint-based Formation of Drone Swarms. Xijing Liu, Kevin Lam, Balsam Alkouz, Babar Shahzaad, and Athman Bouguettaya. PerCom 2022, Virtual, Demo paper.