duobin / Swarm_UAV_Last-mile_Logistics

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Swarm_UAV_Last-mile_Logistics

A project by Abhinandan Krishnan, Navami Prabhu, Prerana Kolipaka, and Yash Srivastava For the course ECE6563 - Networked Control Systems at Georgia Tech. Offered in Fall 2022, taught by Professor Chaouki T. Abdallah.

This project does Swarm UAV formation control for last-mile logistics applications.

Flight stack: Ardupilot multi-copter Simulator: Gazebo Dronekit-Python for communicating with the Drone instance (virtual) over MAVLink.

Demo video: https://youtu.be/qTLwIL3fcqs

System Requirement: Ubuntu 18.04 LTS machine with ROS Melodic, Ardupilot-Gazebo plugin installed. Refer https://github.com/yash14s/Drone/tree/main/installation%20and%20setup for setup instructions.

Usage: i. In terminal(A): $ roslaunch ncs delivery.launch Should see 4 drones in the gazebo world.

ii. In terminal(B): $ conda activate py3env $ sim_vehicle.py -v ArduCopter -f gazebo-iris --console -I0 This will connect the ardupilot to the 1st drone (I0).

iii. In terminal(C): $ conda activate py3env $ sim_vehicle.py -v ArduCopter -f gazebo-iris --console -I1 This will connect the ardupilot to the 2st drone (I1).

iv. In terminal(D): $ conda activate py3env $ sim_vehicle.py -v ArduCopter -f gazebo-iris --console -I2 This will connect the ardupilot to the 3rd drone (I2).

v. In terminal(E): $ conda activate py3env $ sim_vehicle.py -v ArduCopter -f gazebo-iris --console -I3 This will connect the ardupilot to the 4th drone (I3).

vi. In terminal(F): $ conda activate py3env $ python main.py

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License:MIT License


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