Applied intelligence

Research designed to travel beyond the benchmark.

SwarmLab connects foundational computational-intelligence research with high-value problems in optimisation, AI and autonomous systems.

01

Optimisation

Search and resource-allocation problems with large, nonlinear or uncertain solution spaces.

02

AI & model tuning

Population-based tuning and feature/model selection when exhaustive evaluation is impractical.

03

Robotic coordination

Decentralised task allocation, formation and adaptation across fleets of autonomous agents.

04

Decision systems

Resilient multi-agent approaches to scheduling, routing, planning and dynamic prioritisation.

Research translation

From mechanism
to operational value.

Applied work begins by identifying the decision structure: objectives, constraints, uncertainty, available signals and computational budget. The appropriate collective mechanism is then evaluated against meaningful baselines before any deployment pathway is proposed.

01Frame the decision02Select the mechanism03Evaluate rigorously04Translate responsibly

Bring us a difficult problem

Explore a research or applied collaboration.

Discuss an opportunity ↗