|Funding for:||UK Students|
|Funding amount:||please see advert text.|
|Placed On:||29th October 2021|
|Closes:||3rd December 2021|
3.5-year D.Phil. studentship
Project: Distributed control of autonomous aerial vehicles
Supervisors: Prof Kostas Margellos and Prof Antonis Papachristodoulou
The objective of the project is to develop real-time algorithms for learning and distributed control of autonomous aerial vehicles connected over a network, monitoring the behaviour and tasks of ground vehicles. Control of such systems involves, among others, synchronization, formation tasks for surveillance, and collision avoidance, and as such constitutes a challenging problem for control engineering and robotics with numerous applications. This project’s focus will be on integrating and validating distributed techniques on a platform that involves unmanned ground vehicles (Husarion ROSbots) and aerial ones (capitalizing on an existing CrazyFlies quadcopter arena).
The project will focus on the development and coding of cutting-edge algorithms based on distributed and robust optimization over time-varying networks; emphasis will be given on real-time implementation and on extending their scope to deal with dynamic changing environments that capture the features of realistic urban spaces. The project will involve an interplay of theoretical developments and practical implementation on the UAV-UGV smart city platform.
The following main objectives are envisioned:
The project is funded by MathWorks; regular interaction in terms of meetings/reports and additional supervision by MathWorks should be anticipated.
This studentship is open to Home students (full award – home fees plus stipend).
There is very limited flexibility to support international students. If you are an international student and want to apply for this studentship please contact the supervisor to see whether the flexibility might be available for you.
Course fees are covered at the level set for Home students (c. £8620 p.a.). The stipend (tax-free maintenance grant) is c. £15,609 p.a. for the first year, and at least this amount for a further two and a half years.
Prospective candidates will be judged according to how well they meet the following criteria:
The following skills are desirable but not essential:
Informal enquiries are encouraged and should be addressed to Prof Kostas Margellos (firstname.lastname@example.org).
Candidates must submit a graduate application form and are expected to meet the graduate admissions criteria. Details are available on the course page of the University website.
Please quote 22ENGCO_KM in all correspondence and in your graduate application.
Application deadline: noon on 3rd December 2021
Start date: October 2022
Type / Role: