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.
* 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.
* 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.