AI and Autonomy Lab

Intelligent systems can act (semi-)autonomously, working alongside human experts to analyse and help solve complex challenges. Designing good agents needs to balance the ability of agents to work effectively with other agents and human experts to have the maximum real-world impact.

About us

We develop innovative approaches to high-level cognitive reasoning, such as performing collaborative tasks, assessing the cognitive states of other agents, and human-agent interaction.

Our methods are being applied in areas such as scheduling in mine operations, disaster management, and health.

The AI and Autonomy lab is based in the School of Computing and Information Systems at the University of Melbourne, Australia.

Research team

Research students

External collaborators

Completed research students

Research projects

  • Mining and optimisation

    Mine planning is complex with short, medium and long-term objectives that are often competing rather than complementary

  • Automated planning languages

    We are actively developing automated programming and planning languages for implementing and planning complex tasks robustly and efficiently in multi-agent systems.

  • Foundations of human-agent collaboration

    New techniques in collaborative systems for representing and reasoning about joint task achievement.

  • People-oriented software engineering

    Modern technologies can positively transform lives. Many good concepts fail, however, to have a transformative effect by not meeting the individual and emotional needs of intended users.

  • Explainable artificial intelligence

    As AI becomes more ubiquitous, complex and consequential, the need for people to understand how decisions are made and to judge their correctness, fairness, and transparency, becomes increasingly crucial due to concerns of ethics and trust.

  • Multimodal human-agent collaboration

    Improving human-agent interactions through gaze input and other collaborative modalities.

Publications