Decision-making, including Planning, is a critical enabling technology in robotics. It is the deliberate process of deciding the strategy a robot should take to achieve long-term goals.
The Robotics Group at the ANU School of Computing focuses on the design, development, analysis, and applications of decision-making techniques that would enable robots to operate reliably, robustly, and safely in a variety of real-world applications.
Specific research topics include (though not limited to):
- Motion Planning
- Integrated Task and Motion Planning
- Manipulation Planning
- Multi-robot Planning
- Planning under uncertainty, including under non-deterministic and partially observable scenarios
- Motion planning with safety constraints
- Bayesian Reinforcement Learning
- Integrated Planning and Learning
- Applications of robot planning in asset maintenance, helicopter emergency medical services, and cyber domain
Some of our research and activities are available here