Autonomous UAV swarm for counter drone missions

Autonomous drones are becoming increasingly inexpensive and can be deployed in large swarms. Unfortunately, they can be equipped with deadly payloads and used for nefarious applications. Current solutions to protect critical targets against such drone swarms may not be very effective.

Thus, in this project we developed an autonomous drone interception guidance software to enable a defensive drone to independently move towards its target. It has a task assignment scheduling algorithm to orchestrate interception of many targets using a drone swarm.

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Project Team

Student:

  • Wen Jun Gao Calvin (Mechanical Engineering, Class of 2024)

Supervisor: