Social Robotics Research Publications
Our publications demonstrate our transdisciplinary contributions have been made in a wide range of areas including human-robot interaction, social robotics, social intelligence, robot navigation, cognitive science, people tracking, belief revision, commonsense reasoning, case-based reasoning for robots, robot decision making, robot autonomy, facial recognition, social interaction strategies, robot learning by human demonstration, autonomous vehicles, robot law.
- Tonkin, Meg and Vitale, Jonathan and Ojha, Suman and Clark, Jesse and
Pfeiffer, Sammy and Judge, William and Wang, Xun and Williams, Mary-Anne (2017). Embodiment, Privacy and Social Robots: May I remember you?. The 9th International Conference on Social Robotics.
- Tonkin, Meg and Vitale, Jonathan and Ojha, Suman and Williams, Mary-Anne and Fuller, Paul and Judge, William (2017). Would you like to sample? Robot Engagement in a Shopping Centre. The 26th IEEE International Symposium on Robot and Human Interactive Communication.
- Williams, Mary-Anne and Judge, Williams and Vitale, Jonathan and Tonkin, Meg and Johnston, Benjamin and Pandey, Amit Kumar (2017). 1st Workshop on Human-Robot Engagement in the Home, Workplace and Public Space. In International Joint Conference on Artificial Intelligence.
- Ojha, S., Vitale, J., Williams, M. A. (2017). A Domain-Independent Approach of Cognitive Appraisal Augmented by Higher Cognitive Layer of Ethical Reasoning. 39th Annual Meeting of the Cognitive Science Society.
- Vitale, J., Williams, M. A., & Johnston, B. (2017). Facial Motor Information is Sufficient for Identity Recognition. 39th Annual Meeting of the Cognitive Science Society.
- Siddharth Agrawal and Mary-Anne Williams (2017). Robot Authority and Human Obedience: A Study of Human Behaviour using a Robot Security Guard, Twelfth ACM/IEEE International Conference on Human Robot Interaction. IEEE Press.
- Syed Ali Raza and Mary-Anne Williams (2017). Potential Based Reward Shaping Using Learning to Rank, Twelfth ACM/IEEE International Conference on Human Robot Interaction. IEEE Press.
- Syed Ali Raza and Mary-Anne Williams (2017). Unconventional Formats of Background Knowledge from a Human Teacher in Reward Shaping, Twelfth ACM/IEEE International Conference on Human Robot Interaction HRI PIONEERS 2017 Workshop. IEEE Press.
- Hugo Romat, Mary-Anne Williams, Xun Wang, Benjamin Johnston, Henry Bard, (2016) Natural Human-Robot Interaction Using Social Cues, Eleventh ACM/IEEE International Conference on Human Robot Interaction. IEEE Press, Pages: 503-504.
- Surden, H. and Williams, M-A., (2016) Technological Opacity, Predictability, and Self-Driving Cars, Cardozo Law Review, Volume 38 Number 1, 121 - 182.
- Vitale, J., Williams, M. A., & Johnston, B. (2016). The face-space duality hypothesis: a computational model. 38th Annual Meeting of the Cognitive Science Society.
- Williams, M-A. (2016) Decision-Theoretic Human-Robot Interaction: Designing Reasonable and Rational Robot Behavior, International Conference on Social Robotics, LNCS, Volume 9979 pp 72-82.
- Syed Ali Raza, Jesse Clark, and Mary-Anne Williams. (2016) On Designing Socially Acceptable Reward Shaping, International Conference on Social Robotics, LNCS, Volume 9979 pp 860-869.
- Ojha, S. and Williams, M-A, (2016) Ethically-Guided Emotional Responses for Social Robots, International Conference on Social Robotics, LNCS, Volume 9979, pp 233-242.
- Raza, R.A., Johnston, B., and Williams, M-A. (2016) Reward from Demonstration in Interactive Reinforcement Learning, Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, AAAI Press, Menlo Park.
- Abidi, Piccardi, M. and Williams M-A (2016) Static Action Recognition by Efficient Greedy Inference', Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, IEEE, USA. Video Presentation.
- Ramezani, N. & Williams, M-A. (2015), 'Smooth robot motion with an Optimal Redundancy Resolution for PR2 robot based on an analytic inverse kinematic solution', Humanoid Robots (Humanoids), IEEE-RAS 15th International Conference on Humanoid Robots, IEEE, Seoul, Korea, pp. 338-345
- Peppas, P., Williams, M-A, Chopra, S. and Foo, N., (2015). Relevance in Belief Revision, Artificial Intelligence Journal, vol. 229, pp. 126-138
- Anshar, M. and Williams, M.A. (2015), Evolving synthetic pain into an adaptive self-awareness framework for robots, Biologically Inspired Cognitive Architectures Journal, Volume 16, April 2016, Pages 8-18.
- Vitale, J., Williams, M.-.A., Johnston, B. & Boccignone, G. (2014), Affective facial expression processing via simulation: A probabilistic model, Biologically Inspired Cognitive Architectures, vol. 10, pp. 30-41.
- Vitale, J., Williams, M. A., & Johnston, B. (2014). Socially Impaired Robots: Human Social Disorders and Robots' Socio-Emotional Intelligence, in International Conference on Social Robotics (pp. 350-359). Springer International Publishing.
- Cabibihan, J.-.J., Williams, M.-.A. & Simmons, R. (2014), When Robots Engage Humans, International Journal of Social Robotics, vol. 6, no. 3, pp. 311-313.
- Raza, S., Haider, S. & Williams, M. 2013, Robot reasoning using first order bayesian networks, Lecture Notes in Computer Science, vol. 8032, no. 1, pp. 1-12.
- Al-Sharawneh, J.A., Sinnappan, S. & Williams, M. (2013) Credibility-based twitter social network analysis, Lecture Notes in Computer Science, vol. 7808, no. 1, pp. 323-331.
- Novianto, R., Johnston, B.G. & Williams, M-A. (2013), Habituation and sensitisation learning in ASMO cognitive architecture, Lecture Notes in Computer Science, vol.8239, pp.249-259.
- Peppas, P., Koutras, C.D. and Williams, M-A, (2012), Maps in Multiple Belief Change
ACM Transactions on Computational Logic, Volume 13, Number 4; online at http://tocl.acm.org/accepted/MR_Maps_Final.pdf
- Bogdanovych, A., Stanton, C.J., Wang, X. & Williams, M-A. (2012), 'Real-Time Human-Robot Interactive Coaching System with Full-Body Control Interface', Lecture Notes in Computer Science, vol. 7416, pp. 562-573.
- Williams, M-A. (2012), Robot social intelligence, Lecture Notes in Computer Science, vol. 7621, pp. 45-55.
- Stanton, C.J., Ratanasena, E., Haider, S. & Williams, M-A. (2012), Perceiving forces, bumps, and touches from proprioceptive expectations, Lecture Notes in Computer Science, vol. 7416, pp. 377-388.
- Goebel, R. & Williams, M-A. (2011), Editorial : The Expansion Continues: Stitching together the Breadth of Disciplines Impinging on Artificial Intelligence, Artificial Intelligence Journal, vol. 175, no. 5-6, pp. 929-929.
- Benferhat, S., Dubois, D., Prade, H. & Williams, M-A. (2010), A Framework For Iterated Belief Revision Using Possibilistic Counterparts To Jeffrey'S Rule, Fundamenta Informaticae, vol. 99, no. 2, pp. 147-168.
- Williams, M-A, Gärdenfors, P., McCarthy, J., Karol, A., and Stanton, C., (2009). A Grounding Framework, Journal of Autonomous Agents and Multi-Agent Systems, vol. 19, no. 3, pp. 272-296.
- Chen, X., Liu, W. & Williams, M-A. (2009), Introduction: Practical Cognitive Agnets and Robots, Autonomous Agents And Multi-Agent Systems, vol. 19, no. 3, pp. 245-247.
- Stanton, C.J. & Williams, M-A. (2008), 'Robotics: State of the Art and Future Challenges', Artificial Intelligence Journal, vol. 172, no. 18, pp. 1967-1972.
Social Robotics Undergraduate Dissertations
- Le Kang, The Integration of Web Technologies and Robotics: from Robot Application Development to Social Ability, Honours Thesis, UTS, 2016
- Jenny Lui, A Graphical User Interface Based on Shared Knowledge Robotics, Capstone Thesis, 2015. Video Presentation
- Michelle Youssef, Human to PR2 Robot Motion Imitation and Recall System, Capstone Thesis, UTS, 26th August 2013, pp. 1-70 Video Presentation
Social Robotics Postgraduate Dissertations
- Nima, Inverse Kinematics, Kinematic Control and Redundancy Resolution for Chained-Link Robotic Manipulators, 2016
- Shaukat Albedi, Semi-supervised and Unsupervised Extensions to Maximum-Margin Structured Prediction, 2016
- Wei Wang, Social Network for Robots to Share Information and Skills, 2016.
- Novianto, R. Flexible attention-based cognitive architecture for robots, 2015
- Edward Wei, Learning how to make good decisions, 2014
- Xun Wang, HRMI: an Innovative Framework for Qualitative and Quantitative Risk Management, 2013
- Ben Johnston, Practical Commonsense Reasoning, 2011.