Machine learning for multi-robot perception

About the project

You will work on a collective decision-making strategy and learning model for robots that would lead to precise mapping of unknown environments. You will work at the intersection of machine learning and swarm robotics for this fully funded PhD.

You will focus on using machine learning on a large robot swarm that have partial observations of an environment. The aim is to coordinate these models in a way that a complete picture of the environment can be constructed. You will gain a deep understanding of novel algorithms in machine learning, image processing and multi-robot systems.

You will join the School of Electronics and Computer Science, ranked 1st in the UK for Electrical and Electronic Engineering (Guardian University Guide 2022). You will also be supervised by world leading researchers in their field.

You will benefit from the training and networking activities in the:

• UKRI’s Trustworthy Autonomous Systems Hub
• EPSRC Smart Solutions Towards Cellular-Connected Unmanned Aerial Vehicles System (AUTONOMY) project

Dr Mohammad Soorati Dr.Eng., MSc, BSc

• Human-swarm Interaction
• Multi-robot Systems
• Swarm Robotics

Supervisors

• Supervisors: SD Dr Srinandan Dasmahapatra Associate Professor

Dr Srinandan Dasmahapatra

• Dr Srinandan Dasmahapatra: Associate Professor

Entry requirements

A UK 2:1 honours degree, or its international equivalent.

Fees and funding

For UK students, tuition fees and a stipend of £16,062 tax-free each year for up to 3.5 years

How to apply

Apply now

You need to:

Applications should include:

• choose programme type (Research), 2022/23, Faculty of Physical Sciences and Engineering
• choose PhD Computer Science (Full time)
• add name of the supervisor (Dr Mohammad Soorati) in section 2
• research proposal
• your cv (resumé)
• 2 reference letters
• degree transcripts to date

Faculty of engineering and physical sciences

Email: feps-pgr-apply@soton.ac.uk

Project leader

If you wish to discuss any details of the project informally, please contact Dr Mohammad Soorati.

Email: m.soorati@soton.ac.uk

Phone: +44 (0)23 8059 1606

Research areas