Professor in School of Computing and Information SystemsResearcher and innovator in planning and scheduling. My research has improved the efficiency and robustness of a range of applications including production planning for mining, supply chain optimization, robotics, logistics, air traffic management and autonomous systems.
Contributed deeply in research on reasoning about actions within the field of artificial intelligence. In conjunction with an excellent group of colleagues in the AI and Autonomy and optimisation group, we have made fundamental breakthroughs in the ability to perform collaborative planning and scheduling.
Our research group tackles optimization problems, including more efficient and productive supply chain management for agile mine scheduling.
My specialities include: Supply chain optimization, automated planning and scheduling; reasoning about action and change; optimisation in multi-agent systems; knowledge representation and reasoning; and artificial intelligence.
Find out more about Adrian Pearce's experience
Adrian Pearce's highlights
Adrian Pearce's selected work
Physiological Response To Task Constraints During Load Carriage - La Trobe - Middleton - D..
A Decomposition-Based Heuristic for Collaborative Scheduling in a Network of Open-Pit Mine..
Aerospike Rocket Motor Performance - Monash - Honnery - Dsi Collaborative Research Grant
Inventory routing for defense: Moving supplies in adversarial and partially observable env..
Displaying the 84 most recent projects by Adrian Pearce.
Internal Research Grant
Displaying the 82 most recent scholarly works by Adrian Pearce.
Width-Based Lookaheads Augmented with Base Policies for Stochastic Shortest Paths
Stefan O’Toole, Miquel Ramirez, Nir Lipovetzky, Adrian Pearce
Conference Proceedings | 2019 | Proceedings of the 29th International Conference on Automated Planning and Scheduling
Sequential decision problems for real-world applications often need to be solved in real-time, requiring algorithms to perform wel..
Integrated Hybrid Planning and Programmed Control for Real–Time UAV Maneuvering
Miquel Ramirez, Michael Papasimeon, Nir Lipovetzky, Lyndon Benke, Tim Miller, Adrian R Pearce, Enrico Scala, Mohammad Zamani
Conference Proceedings | 2018 | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Real-Time UAV Maneuvering via Automated Planning in Simulations
M Ramirez Javega, M Papasimeon, L Benke, N Lipovetzky, T Miller, A Pearce
Conference Proceedings | 2017 | IJCAI International Joint Conference on Artificial Intelligence
The automatic generation of realistic behaviour such as tactical intercepts for Unmanned Aerial Vehicles (UAV) in air combat is a ..
Sequencing operator counts
TO Davies, AR Pearce, P Stuckey, N Lipovetzky
Conference Proceedings | 2016 | IJCAI International Joint Conference on Artificial Intelligence
Copyright 2016 AAAI, all rights reserved.). Operator-counting is a recently developed framework for analysing and integrating many..
Scheduling with fixed maintenance, shared resources and nonlinear feedrate constraints: A mine planning case study
CN Burt, N Lipovetzky, AR Pearce, PJ Stuckey
Conference Proceedings | 2015 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Given a short term mining plan, the task for an operational mine planner is to determine how the equipment in the mine should be u..
Artificial social reasoning: computational mechanisms for reasoning about others
P Felli, T miller, Christian Muise, A PEARCE, L sonenberg
Conference Proceedings | 2014 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
With a view to supporting expressive, but tractable, collaborative interactions between humans and agents, we propose an approach ..
Honours, Awards and Fellowships
Excellence in Research Leadership Award, The University of Melbourne
Sequencing Operator Counts
Sequencing Operator Counts
Department of Computing and Information Systems
Visiting Research Fellowship Award
PhD student Ryan Kelly nominated for Universities Chancellor's Award & Australasian Distinguished Dissertation Award (CORE)
Best Program Committee Member Award, International Conference of Autonomous Agents and Multiagent Systems
Teaching Commendation, Department of Computer Science and Software Engineering, The Melbourne School of Engineering
Team advisor for agent programming for ROBOCUP Soccer entry, winning fourth place in small-sized (F180) robot league at Fukuoka, Japan
Visiting Research Fellowship
Computing And Information Systems
Australian Computer Society
American Association for Artificial Intelligence (AAAI)
American Association for Computing Machinery (ACM)
Institute of Electrical and Electronics Engineers (IEEE)
IEEE Computer Society
Doctor of Philosophy (Computer Science)
Curtin University of Technology
Bachelor of Science (Hons First Class) (Computer Science)
University of Melbourne