Research project

Resource-efficient collective decision making in robot swarms

Research groups:
Lead researchers:

Dr Mohammad Soorati
Other researchers:

Dr Danesh Tarapore,

Mr Samratul Fuady
Status:

Active

Project overview

This project develops resource-efficient methods that enable robot swarms to make reliable collective decisions using only local observations and interactions. The research explores how swarms can assess whether they have sufficient resources to undertake a task and dynamically involve only the number of robots needed to reach an accurate consensus, freeing the remainder for other activities.

The aim is to create scalable, decentralised decision-making approaches that conserve energy and computational resources while supporting effective swarm deployment in complex real-world environments.