Vision-based Formation Flight of Micro Aerial Vehicles
Project Description

Micro aerial vehicles (MAVs) are ideal platforms for aerial manipulation and transportation tasks due to their superior mobility.
In many applications, it is desirable to use multiple MAVs in a formation setting to overcome payload limitations and to improve sensing capabilities.
In this project, we aim to develop a fleet of MAVs that are able to fly autonomously in a desired formation using cameras as the main sensing modality.
This is a multi-semester project. Students with solid backgrounds in programming and mathematics, and are interested in gaining hands-on experience in robotics, are encouraged to participate.

Supervisor
SHEN Shaojie
Quota
5
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

* Learn state-of-the-art methodologies on autonomous MAVs.
* Develop real-time vision-based MAV detection systems using either artifical or natural markers.
* Develop system infrastructures for inter-MAV communication and detection.
* Develop control laws for maintaining desired formations with multiple MAVs.

Applicant's Learning Objectives

* Learn to develop complex robotics systems that involves both software and hardware components.
* Gain sufficient knowledge on image processing and machine perception.
* Learn methodologies on formation control.

Complexity of the project
Challenging