To develop both fundamental and applied research programs in field robotics and intelligent systems that encompass the development of new theories and methods, and the deployment of these in targeted industrial, social and environmental applications.
The research program focuses on enabling technologies in four core areas:
- Sensors, Fusion & Perception: sensing, representations of information, the modelling and management of uncertainty, data fusion and perceptual interpretation.
- Actuators, Control & Decision: of individual micro and macro machines, of heterogeneous groups of platforms and sensors, and of contact and interaction with the environment and each other.
- Modelling, Learning & Adaptation: supervised and unsupervised learning in unstructured and dynamic environments, multi-agent learning, pattern recognition, concept formation and adaptation to the environment.
- Architectures, Systems & Cooperation: design and optimisation of “systems of systems”, modelling and management of complexity, large scale systems theory, and modelling of information flow, negotiation and cooperation between platforms and intelligent systems.
These four core research areas define the science of field robotics and intelligent systems and represent the main focus of the ACFR. They draw together common themes and research priorities from within the various research groups and labs within the ACFR, with the goal of supporting long-term developments across the whole field robotics and intelligent systems area.
The research groups and labs ensure that the many threads of the core research areas are brought together and that a bridge exists to future commercial development of research results for our partners and centres and new application areas.