Drone Team Collaboration as A Distributed System

Research Goal

Development of a decentralized system of collaborative UAVs that can jointly bring a large load from one place to another.

Strategic Alignment

Decentralized collaborative system of UAVs provide the ability to lift heavy loads while also simultaneously reducing the dependence on any individual UAV in the team.

Objectives

Approach

Apply Genetic Fuzzy Methodology (GFM) or Machine Learning (ML) techniques to train the system of UAVs to achieve the common goal of transporting a load to a target location. By penalizing undesirable actions, GA/ML can tune the controller parameters to ensure near-optimal performance by the UAV team.

Applications

State-of-the-art

UAV team activities are mostly limited to formation flights coordinated by a centralized controller which is vulnerable to security or reliability problems. An individual UAV's behavior can easily affect the performance of the entire team.

uav collab

Publications