The Intelligent Systems Research Centre (ISRC) is dedicated to the creation of intelligent computational systems, taking inspiration from, and learning from, biology and neuroscience. The work of the Centre is directed at achieving a greater understanding of biological signal processing and the translation of critical aspects of that knowledge into computational systems that can perform in a way that humans would consider "intelligent".
Research themes include:
Bioinspired Systems and Neuroengineering Research: The investigation, development and optimisation of large scale neural systems that emulate biological sensory capabilities such as vision, sound and haptics; with the appropriate systems emulated on reconfigurable hardware.
Cognitive Robotics: focuses on novel, advanced control methods for autonomous mobile robots, merging approaches from Artificial Intelligence, Cognitive Science and Engineering. Reflecting the increasing importance of autonomous robotics in the service industry, healthcare and manufacturing, research in Cognitive Robotics at ISRC ranges from investigating the foundations of robotics (robotics as a science) to applications of robotics such as industrial or assistive robotics.
Brain Computer Interfacing and Assistive Technologies: encompasses both theoretical and applied aspects of intelligent assistive systems development primarily based on the processing of brain signals with the primary objective of increasing independence and improving quality of life of people with disabilities due to old age, injury or disease. Brain-computer interface (BCI) systems facilitate real-time translation of the electrical activity of the brain into commands to control devices. As well as medical applications, BCI opens up promising opportunities for a range of novel applications such as computer games with intuitive control strategies and advanced virtual reality (VR) scenarios.
Computational Neuroscience Research: seeks to develop accurate computational models of brain regions, which are known to be affected during the course of depression and AD. Such models will be critical in studies of the neurodynamics of aging and neurodegeneration.
Nanoelectronics Research: research and development of intelligent systems platforms based on electronic nano-scale devices and their associated architectures. The team researches the design and implementation of neural-inspired devices and nano-architectures for intelligent systems whilst developing the associated technology and IP to a point where it could be transferred to industry. The research of the team also investigates the problems associated with the implementation of tera scale architectures such as power consumption, reliability, self repair and evolvability.
Virtual Worlds and Serious Games: focus on the increasingly important medium of virtual worlds and the application/development of video games technologies in a range of domains. Currently focused on Experiential Based Learning in Virtual environments, VLE Virtual World Integration, Hardware Virtual World Integration and Optimal Hardware Architectures for Gaming Applications.
Ambient Intelligence: research into Ambient Intelligence (electronic environments that are sensitive and responsive to the presence of people). Devices work in concert to support people in carrying out their everyday life activities, tasks and rituals. One of the focus areas is the application of Location Awareness within ambient Intelligent computing environments. The centre is at the forefront of conducting ground-breaking research into the field of accurately pinpointing location indoors.