I have been the Deputy Vice-Chancellor of Research at UTS since August 2014 and have responsiblity for UTS' research strategy and portfolio. Prior to working at UTS, I held a number of positions in research, development and technology at IBM over 27.5 years.
My interests cover a wide spectrum of science and technology, including computer science, mathematics, data science and artificial intelligence. I am interested not just in the application of new technology but in understanding the implications of that technology for society.
- Fellow, Australian Academy of Technological Sciences and Engineering
- Senior Fellow, IEEE
- Internet of Things
- Quantum Computing
- Data Science
- Artificial Intelligence
Bailey, D.H., Borwein, J.M., Mattingly, A. & Wightwick, G. 2013, 'The computation of previously inaccessible digits of 2 and Catalan's constant', Notices of the American Mathematical Society, vol. 60, no. 7, pp. 844-854.View/Download from: UTS OPUS or Publisher's site
Vecchiola, C., Anjomshoa, H., Bernstein, Y., Dumitrescu, I., Garnavi, R., von Kaenel, J. & Wightwick, G. 2013, 'Engineering resilient information systems for emergency management', IBM JOURNAL OF RESEARCH AND DEVELOPMENT, vol. 57, no. 5.View/Download from: UTS OPUS or Publisher's site
Martin, J.L., Varilly, H., Cohn, J. & Wightwick, G.R. 2010, 'Technologies for a Smarter Planet Preface', IBM JOURNAL OF RESEARCH AND DEVELOPMENT, vol. 54, no. 4, pp. 1-2.View/Download from: Publisher's site
Novianto, R., Williams, M.-.A., Gärdenfors, P. & Wightwick, G. 2014, 'Classical conditioning in social robots', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, Germany, pp. 279-289.View/Download from: UTS OPUS or Publisher's site
Classical conditioning is important in humans to learn and predict events in terms of associations between stimuli and to produce responses based on these associations. Social robots that have a classical conditioning skill like humans will have an advantage to interact with people more naturally, socially and effectively. In this paper, we present a novel classical conditioning mechanism and describe its implementation in ASMO cognitive architecture. The capability of this mechanism is demonstrated in the Smokey robot companion experiment. Results show that Smokey can associate stimuli and predict events in its surroundings. ASMO's classical conditioning mechanism can be used in social robots to adapt to the environment and to improve the robots' performances.
Williams, M., Gardenfors, P., Johnston, B.G. & Wightwick, G.R. 2010, 'Anticipation as a Strategy: A Design Paradigm for Robotics', Lecture Notes in Artificial Intelligence 6291 - Knowledge Science, Engineering and Management, Knowledge Science, Engineering and Management, Springer-Verlag Berlin Heidelberg, Belfast, Northern Ireland, pp. 341-353.View/Download from: UTS OPUS or Publisher's site
Anticipation plays a crucial role during any action, particularly in agents operating in open, complex and dynamic environments. In this paper we consider the role of anticipation as a strategy from a design perspective. Anticipation is a crucial skill in sporting games like soccer, tennis and cricket. We explore the role of anticipation in robot soccer matches in the context of reaching the RoboCup vision to develop a robot soccer team capable of defeating the FIFA World Champions in 2050. Anticipation in soccer can be planned or emergent but whether planned or emergent, anticipation can be designed. Two key obstacles stand in the way of developing more anticipatory robot systems; an impoverished understanding of the âanticipationâ process/capability and a lack of know-how in the design of anticipatory systems. Several teams at RoboCup have developed remarkable preemptive behaviors. The CMU Dive and UTS Dodge are two compelling examples. In this paper we take steps towards designing robots that can adopt anticipatory behaviors by proposing an innovative model of anticipation as a strategy that specifies the key characteristics of anticipation behaviors to be developed. The model can drive the design of autonomous systems by providing a means to explore and to represent anticipation requirements. Our approach is to analyze anticipation as a strategy and then to use the insights obtained to design a reference model that can be used to specify a set of anticipatory requirements for guiding an autonomous robot soccer system.
Wightwick, G.R., Wail, S.F. & Eaves, J.J. 1996, 'Architecture of a Scalable Medical Imaging Server.', Australasian Database Conference, pp. 0-0.
Wightwick, G.R. 2015, 'The future of data science looks spectacular', The Conversation.