Publications

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The following list contains selected publications of robotics lab members. Links to additional publications can be found here (NOVA) or at the research profile pages of the individual researchers.

2019
  • Fayeem Aziz and Stephan Chalup. Testing the robustness of manifold learning on examples of thinned-out data. In2019 International Joint Conference on Neural Networks(IJCNN 2019). IEEE, 2019. accepted 8 March 2019.
  • Ali Bakhshi, Noman Nasimul, Chen Zhiyong, Zamani Mohsen, and Stephan Chalup. Fast automatic optimisation of cnn architectures for image classification using genetic algorithm. In 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019). IEEE, 2019. accepted 8 March 2019.
  • Rahul Paul and Stephan Chalup. Estimating betti numbers using deep learning. In 2019 International Joint Conference on Neural Networks(IJCNN 2019). IEEE, 2019. accepted 8 March 2019.
  • Asad Abbas and Stephan Chalup. From face recognition to facial pareidolia: Analysing hid- den neuron activations in cnns for cross-depiction recognition. In 2019 International Joint Conference on Neural Networks(IJCNN 2019). IEEE, 2019. accepted 8 March 2019.
  • Asad Abbas and Stephan Chalup. The impact of image resolution on facial expression analysis with cnns. In 2019 International Joint Conference on Neural Networks(IJCNN 2019). IEEE, 2019. accepted 8 March 2019.
2018
  • Indriani Puspitasari Astono, James S. Welsh, and Stephan Chalup. Adjacent network for semantic segmentation of liver ct scans. In The 18th IEEE International Conference on BioInformatics and BioEngineering (IEEE BIBE 2018). IEEE, 2018. accepted 8 March 2019.
  • Daniel Ginn, Alexandre Mendes, Stephan Chalup, and Jake Fountain. Monocular orb-slam on a humanoid robot for localization purposes. In The 31st Australasian Joint Conference on Artificial Intelligence (AI2018), Lecture Notes in Computer Science (LNCS). Springer, 2018. accepted 19 August 2018.
  • Alexander Biddulph, Trent Houliston, Alexandre Mendes, and Stephan Chalup. Comparing computing platforms for deep learning on a humanoid robot. In 25th International Conference on Neural Information Processing (ICONIP 2018), December 13-16, 2018, Siem Reap, Cambodia, Lecture Notes in Computer Science (LNCS). Springer, 2018. accepted 2 August 2018.
  • Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, and Stephan K. Chalup. Aligning manifolds of double pendulum dynamics under the influence of noise. In 25th International Conference on Neural Information Processing (ICONIP 2018), December 13-16, 2018, Siem Reap, Cambodia, Lecture Notes in Computer Science (LNCS). Springer, 2018.
  • Ming Ma, Defu Cheng, Stephan Chalup, and Zhijian Zhou. Uncertainty estimation in the neural model for aeromagnetic compensation. IEEE Geoscience and Remote Sensing Letters, 15(12):1942–1946, 2018.
  • Fayeem Aziz, Stephan K. Chalup, and James Juniper. Big data in iot systems. In J Y. Khan and M. R. Yuce, editors, Internet of Things (IoT), Systems and Applications. Pan Stanford Publisher, 2018. accepted July 2018.
2017
  • Maryam Mahsal Khan, Alexandre Mendes, and Stephan K. Chalup. Evolutionary wavelet neural network ensembles for breast cancer and parkinson’s disease prediction. PLoS ONE, 13(2):1–15, February 2018.
  • Ljiljana Brankovic, Stephan Chalup, and Mark Wallis. Teaching advanced computing tech- nologies to managers, engineers and other professionals. In 28th Australasian Association for Engineering Education Annual Conference (AAEE2017), Manly, Sydney, Australia, 2017, 2017.
  • Rahul Paul and Stephan K. Chalup. A study on validating non-linear dimensionality reduction using persistent homology. Pattern Recognition Letters, 100:160–166, 2017.
  • Asad Abbas and Stephan K. Chalup. Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis. In Proceedings of the 19th ACM International Conference on Multimodal Interaction, ICMI 2017, pages 561– 568, New York, NY, USA, 2017. ACM.
  • Abdul Jabbar, Luke Farrawell, Jake Fountain, and Stephan K. Chalup. Training deep neural networks for detecting drinking glasses using synthetic images. In Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, and El-Sayed M. El-Alfy, editors, Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II, pages 354–363, Cham, 2017. Springer International Publishing.
  • Rahul Paul, R. P. Jagadeesh Chandra Bose, Stephan K. Chalup, and Gurulingesh Rarav. Improving operational performance in service delivery organizations through a metaheuristic task allocation algorithm. In BPM2017, 15th International Conference on Business Process Management, 2017.
  • Maryam Mahsal Khan, Alexandre Mendes, Ping Zhang, and Stephan K. Chalup. Evolving multi-dimensional wavelet neural networks for classification using cartesian genetic program- ming. Neurocomputing, 247:39–58, 2017.
2016
  • Trent Houliston, Jake Fountain, Yuqing Lin, Alexandre Mendes, Mitchell Metcalfe, Josiah Walker, and Stephan K. Chalup. Nuclear: A loosely coupled software architecture for humanoid robot systems. Frontiers in Robotics and AI, 3(20), 2016. Link.
  • Ross J. Bille, Yuqing Lin, and Stephan K. Chalup. RTCSS: A framework for developing realtime peer-to-peer web applications. In Australasian Web Conference 2016, at the Australasian Computer Science Week (ACSW 2016), Canberra, Australia, 2-5 February, 2016. ACM Digital Library, 2016.
  • Mitchell Metcalfe, Brendan Annable, Monica Olejniczak, and Stephan K. Chalup. A study on detecting three-dimensional balls using boosted classiers. In Interactive Entertainment 2016, at the Australasian Computer Science Week (ACSW 2016), Canberra, Australia, 2-5 February, 2016. ACM Digital Library, 2016.
  • Bilal H. Abedalguni, David J. Paul, Stephan K. Chalup, and Frans A. Henskens. A comparison study of cooperative q-learning algorithms for independent learners. International Journal of Articial Intelligence (IJAI), 14(1), 2016.
  • Maryam Mahsal Khan, Stephan K. Chalup, and Alexandre Mendes. Parkinson's disease data classication using evolvable wavelet neural networks. In Tapabrata Ray, Ruhul Sarker, and Xiaodong Li, editors, Articial Life and Computational Intelligence, Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016. Proceedings, volume 9592 of Lecture Notes in Articial Intelligence (LNAI), pages 113-124. Springer International Publishing, 2016.
2015
  • Jake Fountain and Stephan K. Chalup. Automatic calibration of eye baseline in virtual environments using stereoscopic set transformation and scene intersection. In Australasian Conference on Artificial Life and Computational Intelligence 2015 (ACALCI 2015), volume 8955 of Lecture Notes in Artificial Intelligence (LNAI). Springer, 2015. (accepted October 2014).
  • Josiah Walker and Stephan K. Chalup. Learning nursery rhymes using adaptive parameter neurodynamic programming. In Australasian Conference on Artificial Life and Computational Intelligence 2015 (ACALCI 2015), volume 8955 of Lecture Notes in Artificial Intelligence (LNAI). Springer, 2015. (accepted October 2014).
  • Trent Houliston, Mitchell Metcalfe, and Stephan K. Chalup. A fast method for adapting lookup
    tables applied to changes in lighting colour.     In RoboCup 2015: Robot World Cup XIX, volume
    9513 of Lecture Notes in Articial Intelligence (LNAI), pages 190-201. Springer, 2015.
  • Bilal H. Abedalguni, Stephan K. Chalup, Frans A. Henskens, and David J. Paul. A multi-agent
    cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers.     Vietnam Journal of Computer Science, 2(4):213-226, 2015.
2014
  • Brendan Annable, David Budden, and Alexandre Mendes. Nubugger: A visual real-time robot debugging system. In RoboCup 2013: Robot Soccer World Cup XVII, Lecture Notes in Artificial Intelligence (LNAI). Springer, 2014
  • Benedikt Boecking, Stephan K. Chalup, Detlef Seese, and Aaron S. W. Wong. Support Vector Clustering of Time Series Data with Alignment Kernels. Pattern Recognition Letters 45, pp. 129-135, August 2014. link.
  • S. Chalup, Z. Chen, J. Khan, A. Mendes and C. Renton. Developing an Autonomous Swarm of Small Helicopters: Controlling Cooperative Team Behaviour for Search and Surveillance. Proceedings of the FLFC2014 - Future Land Force Conference, Brisbane, Australia, 2014.
  • Jake Fountain, Josiah Walker, David Budden, Alexandre Mendes, and Stephan K. Chalup. Motivated reinforcement learning for improved head actuation of humanoid robotsRoboCup 2013: Robot World Cup XVII, volume 8371 of Lecture Notes in Artificial Intelligence (LNAI), pages 268-279. Springer, 2014.
  • Bilal Hashem Kalil Abed-Alguni. Cooperative Reinforcement Learning for Independent Learners. PhD thesis, School of Electrical Engineering and Computing, The University of Newcastle, Australia, 2014. link.
  • Kenny Hong, Stephan K. Chalup and Robert A.R. King. Affective Visual Perception using Machine Pareidolia of Facial Expressions. IEEE Transactions on Affective Computing, (available online).
  • Maryam Mahsal Khan, Stephan K. Chalup, and Alexandre Mendes. Evolving wavelet neural networks for breast cancer classication. In Twelfth Australasian Data Mining Conference (AusDM'2014), Queensland University of Technology, Gardens Point, Brisbane, 27-28 November 2014, Conferences in Research and Practice in Information Technology (CRPIT). Australian omputer Society Inc., 2014. (accepted October 2014).
  • Michael J. Ostwald, Kenny Hong and Stephan. K. Chalup, (2014) A Computational Analysis of Pareidolia-Derived Emotional Messages in Architecture. In Aaron Kozbelt ed. Proceedings of the Twenty-third Biennial Congress of the International Association of Empirical Aesthetics, August 22-24, 2014 New York, NY, USA p 58 - 63 - ISBN: 0-692-29396-5
  • Yu Peng. "Feature Selection for Intelligent Transportation Systems". PhD thesis in Information Technology. The University of Newcastle, Australia.
  • Lei Tan, Ross Bille, Yuqing Lin, Stephan K. Chalup, and Chris Tucker. Software development in the city evolutions project. In The 10th Australasian Conference on Interactive Entertainment (IE2014), ACM International Conference Proceedings Series. ACM, 2014. (accepted October 2014).
  • Lukasz Wiklendt. Spiking Neural Networks for Robot Locomotion Control. PhD thesis in Computer Science. School of Electrical Engineering and Computing. The University of Newcastle, Australia.
2013
  • Shashank Bhatia, Stephan K. Chalup, and Michael J. Ostwald. Wayfinding: a method for the empirical evaluation of structural saliency using 3d isovists. Architectural Science Review, 56(3):220-231, 2013. link.
  • Shashank Bhatia and Stephan K. Chalup. Segmenting salient objects in 3d point clouds of indoor scenes using geodesic distances. Journal of Signal and Information Processing 4(3B):102-108, 2013. link.
  • Shashank Bhatia and Stephan K. Chalup. A model of heteroassociative memory: Deciphering surprising features and locations. In Mary L. Maher, Tony Veale, Rob Saunders, and Oliver Bown, editors, Proceedings of the Fourth International Conference on Computational Creativity (ICCC 2013) pp.139-146, Sydney, Australia June 2013. link.
  • Aaron S.W. Wong, Kenny Hong, Steven Nicklin, Stephan K. Chalup, and Peter Walla. Robot emotions generated and modulated by visual features of the environment. In IEEE Symposium on Computational Intelligence for Creativity and Affective Computing 2013. IEEE, 2013. link.
  • Arash Jalalian and Stephan K. Chalup. GDTW-P-SVMs: Variable-Length Time Series Analysis Using Support Vector Machines. Neurocomputing, 99(1), pp. 270-282, January 2013. link.
  • Kenny Hong, Stephan K. Chalup, Robert King, and Michael Ostwald. Scene perception using pareidolia of faces and expressions of emotion. In IEEE Symposium on Computational Intelligence for Creativity and Affective Computing 2013. IEEE, 2013. link.
  • Kenny Hong, Stephan K. Chalup, and Robert King. A component based approach for classifying the seven universal facial expressions of emotion. In IEEE Symposium on Computational Intelligence for Creativity and Affective Computing 2013. IEEE, 2013. link.
  • Kenny Hong (2013) "Scene Perception using Machine Pareidolia of Facial Expressions". PhD thesis in Computer Science. School of Electrical Engineering and Computing. The University of Newcastle, Australia.
2012
  • D. Budden, Shannon Fenn, Josiah Walker and Alexandre Mendes. A Novel Approach to Ball Detection for Humanoid Robot Soccer . In AI 2012: Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence (LNAI 7691), Springer Verlag, Berlin, 2012. – Awarded "Best Student Paper". pdf.
  • Shashank Bhatia, Stephan K. Chalup, and Michael J. Ostwald. Analyzing architectural space: Identifying salient regions by computing 3d isovists. In Conference Proceedings. 46th Annual Conference of the Architectural Science Association (ANZAScA), Gold Coast, QLD, 2012. link.
  • Arash Jalalian. Time Series Classification for Analysing the Impact of Architectural Design on Pedestrian Spatial Behaviour . PhD thesis, School of Electrical Engineering and Computing, The University of Newcastle, 2012. link.
  • Aaron S. W. Wong, Stephan K. Chalup, Shashank Bhatia, Arash Jalalian, Jason Kulk, Steven Nicklin, and Michael J. Ostwald. Visual Gaze Analysis of Robotic Pedestrians Moving in Urban Space. Architectural Science Review, 55(3), pp. 213-223, 2012.
  • Caslav Bozic, Stephan K. Chalup, and Detlef Seese. Application of Intelligent Systems for News Analytics . In: M. Doumpos, P.M. Pardalos, C. Zopounidis (eds.). Financial Decision Making Using Computational Intelligence, Springer 2012.
  • David Budden, Shannon Fenn, Alexandre Mendes and Stephan Chalup. Evaluation of Colour Models for Computer Vision using Cluster Validation Techniques . RoboCup Symposium 2012, Lecture Notes in Computer Science (LNCS/LNAI), Springer.
  • Arash Jalalian, Stephan Chalup and Michael Ostwald. Analysis of Pedestrian Spatial Behaviour using GDTW-P-SVMs. 2012 International Joint Conference on Neural Networks. IEEE 2012.
  • Kenny Hong, Stephan Chalup and Robert King. An Experimental Evaluation of Pairwise Adaptive Support Vector Machines. 2012 International Joint Conference on Neural Networks. IEEE 2012.
  • Jason Kulk and James Welsh. Measuring Impacts using Support Vector Machines on a Standing Humanoid Robot. 2012 International Joint Conference on Neural Networks. IEEE 2012.
2010 - 2011

2011

  • Aaron S. W. Wong, Stephan K. Chalup, Shashank Bhatia, Arash Jalalian, Jason Kulk, and Michael J. Ostwald. Humanoid Robots for Modelling and Analysing Visual Gaze Dynamics of Pedestrians Moving in Urban Space . In R. Hyde, S. Hayman, and D. Cabrera, editors, From principles to practice in architectural science. Anzasca 2011, 45th Annual Conference of the Australian and New Zealand Architectural Science Association. CD-ROM. (student paper award). link.
  • Arash Jalalian, Stephan K. Chalup, and Michael J. Ostwald. Architectural Evaluation of Simulated Pedestrian Spatial Behaviour . Architectural Science Review, 54(2), pp. 132-140, 2011. link.

2010

  • Arash Jalalian, Stephan K. Chalup, and Michael J. Ostwald. Simulating Pedestrian Flow Dynamics for Evaluating the Design of Urban and Architectural Space. ANZAScA 2010 Annual Conference, Unitec Institute of Technology, 2010. link.
  • Stephan K. Chalup, Kenny Hong and Michael J. Ostwald. Simulating Pareidolia of Faces for Architectural Image Analysis. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), Vol. 2, pp. 262-278, 2010. link.
  • Stephan K. Chalup and Michael J. Ostwald. Anthropocentric Biocybernetic Approaches to Architectural Analysis: New Methods for Investigating the Built Environment. In: Paul S. Geller (ed.). Built Environment: Design, Management and Applications. ISBN 978 1 60876 915 5, Nova Publishers, 2010. link.
  • Kenny Hong, Stephan Chalup and Robert King. A Component Based Approach Improves Classification of Discrete Facial Expressions over a Holistic Approach.2010 International Joint Conference on Neural Networks (IJCNN 2010) (part of IEEE WCCI), pp. 90-97, 2010. link.
  • Arash Jalalian, Stephan K. Chalup and Michael J. Ostwald. Intelligent Evaluation of Urban Streetscape Designs by Analysing Pedestrian Body Dynamics. Third International Workshop on Advanced Computational Intelligence (IWACI2010), 2010. link.
  • Arash Jalalian, Stephan Chalup and Michael Ostwald. Evaluating Urban Streetscape Design by Analyzing Pedestrian Body Dynamics. Fourth International Conference on Design Computing and Cognition (DCC'10) (poster)
  • Stephan K. Chalup and Michael J. Ostwald. Modelling Architectural Design Perception Using Anthropocentric Biocybernetic Computing. Fourth International Conference on Design Computing and Cognition (DCC'10) (poster)
  • Jason Kulk and James Welsh. Perturbation Sensing using Proprioception for Humanoid Robots. Proceedings of the IEEE Conference on Robotics and Automation, 2010.
  • Jason Kulk and James Welsh. Autonomous Optimisation of Joint Stiffnesses over a Gait Cycle for the NAO Robot. Proceedings of the International Symposium on Robotics and Intelligent Sensors, 2010.
2008 - 2009

2009

  • Lukasz Wiklendt and Stephan K. Chalup. Balance Control of a Simulated Inverted Pendulum on a Circular Base. Australasian Conference on Robotics and Automation (ACRA) , 2009. link.
  • Stephan K. Chalup and Michael J. Ostwald. Anthropocentric Biocybernetic Computing for Analysing the Architectural Design of House Facades and Cityscapes, Design Principles and Practices: An International Journal, Vol. 3, No. 5, pp. 65-80, 2009. link.
  • Lukasz Wiklendt, Stephan K. Chalup, and Richard H Middleton. A Small Spiking Neural Network with LQR Control Applied to the Acrobot , Neural Computing and Applications, Vol. 18, No. 4, pp. 369-375, Springer, May 2009. pdf.
  • Lukasz Wiklendt, Stephan K. Chalup, and Maria M. Seron. Simulated 3D Biped Walking with an Evolution-Strategy Tuned Spiking Neural Network , Neural Network World, Vol. 19, pp. 235-246, 2009. link.
  • Stephan. K. Chalup, Naomi Henderson, Michael J. Ostwald and Lukasz Wiklendt. A Computational Approach to Fractal Analysis of a Cityscape's Skyline, Architectural Science Review, Vol. 52, No. 2, pp. 126-134, 2009. link.

2008

  • Alexander Buckley, Stephan K. Chalup, Naomi Henderson, Robert A.R. King, Jason Kulk, Richard H. Middleton, Steven P. Nicklin, Shek-Man Tang, and Aaron S.W. Wong. The NUManoids Team Description for 2008 , In: L. Iocchi, H. Matsubara, A. Weitzenfeld, C. Zhou (eds.), RoboCup 2008: Robot Soccer World Cup XII, Suzhou, China, Preproceedings. RoboCup Federation, 2008. pdf.
  • Naomi Henderson, Robert King and Stephan Chalup. An Automated Colour Calibration System using Multivariate Gaussian Mixtures to Segment HSI Colour Space , Australasian Conference on Robotics and Automation (ACRA) 2008. link.
  • Aaron S.W. Wong and Stephan K. Chalup. Sound-scapes for Robot Localisation through Dimensionality Reduction , Australasian Conference on Robotics and Automation (ARCA) 2008. link.
  • Jason A. Kulk and James S. Welsh. A Low Power Walk for the NAO Robot , Australasian Conference on Robotics and Automation (ARCA) 2008. pdf.
  • Stephan K. Chalup and Andreas Mitschele. Kernel Methods in Finance. Chapter 27, pages 655-687 of: Detlef Seese, Christof Weinhardt and Frank Schlottmann. Handbook on Information Technology in Finance. Springer Berlin Heidelberg, 2008. link.
  • Stephan K. Chalup, Kenny Hong, and Michael Ostwald. A Face-House Paradigm for Architectural Scene Analysis, In: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology (CSTST 2008), ISBN:978-1-60558-046-3, pp.397-403, ACM 2008. link.
  • Stephan K. Chalup, Naomi Henderson, Michael J. Ostwald and Lukasz Wiklendt. A Method for Cityscape Analysis by Determining the Fractal Dimension of Its Skyline , ANZAScA 2008. link.
  • Lukasz Wiklendt, Stephan K. Chalup and Maria Seron. Quadratic Leaky Integrate-and-Fire Neural Network Tuned with an Evolution Strategy for a Simulated 3D Biped Walking Controller , 8th International Conference on Hybrid Intelligent Systems (HIS 2008), IEEE Computer Society Press 2008. pdf.
  • Aaron Wong and Stephan K. Chalup. Towards Visualisation of Sound-scapes Through Dimensionality Reduction , 2008 IEEE World Congress on Computational Intelligence (WCCI), Hong Kong, June 1-6, 2008. link.

2006 - 2007

2007

  • Stephan K. Chalup and Lukasz S. Wiklendt. Variations of the Two-Spiral TaskConnection Science, Vol. 19, No. 2, pp. 183-199, June 2007. link, rot.avi, ratio.avi.
  • Stephan K. Chalup, Robin Fisher, Naomi Henderson, Robert King, Richard H. Middleton, Steven P. Nicklin, and Michael J. Quinlan. The NUbots Team Description for 2007 , In: Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert (eds.), RoboCup 2007: Robot Soccer World Cup XI, Atlanta, USA, Preproceedings. RoboCup Federation, 2007. pdf.
  • Chris Lawrence, Michael R. Dickinson, and Stephan K. Chalup. Designing Charm: Harnessing the Affective Power of Form in Robotic Development . ConnectED 2007 International Conference on Design Education, 2007. link.
  • Stephan K. Chalup, Riley Clement, Chris Tucker, and Michael J. Ostwald. Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction . Australian Conference on Articial Life (ACAL 2007), LNCS 4828, pp. 84-95. Springer, 2007. link.
  • Stephan K. Chalup, Riley Clement, Joshua Marshall, Chris Tucker, and Michael J. Ostwald. Representations of Streetscape Perceptions Through Manifold Learning in the Space of Hough Arrays . IEEE Symposium on Articial Life, 2007. link.
  • N. Henderson, R.H. Middleton and R. King. An Application of Gaussian Mixtures: Colour Segmenting for the Four Legged League using HSI Colour Space , RoboCup Symposium, Atlanta, July 2007. Lecture Notes in Computer Science , Springer-Verlag Berlin/Heidelberg, 2007.
  • Stephan K. Chalup, Craig L. Murch, and Michael J. Quinlan. Machine Learning with AIBO Robots in the Four-Legged League of RoboCup , IEEE Transactions on Systems, Man, and Cybernetics C, Vol. 37, No. 3, pp. 297--310, May 2007. link.
  • Benjamin Goldsmith, Stephan K. Chalup, and Michael J. Quinlan. Regime Type and International Conflict: Towards a General Model . Journal of Peace Research 45(6), pp. 743--763, 2008. [Note: This was an interdisciplinary excursion into peace research i.e. ``NUbots help to save the world''.] link.
  • Michael J. Quinlan, Oliver Obst, and Stephan K. Chalup. Towards Autonomous Strategy Decisions in the RoboCup Four-Legged League , In: A. Karol, P. Peppas and M.A. Williams. Proceedings Seventh IJCAI International Workshop on Nonmontonic Reasoning, Action and Change, Hyderabad, India,2007.
  • Steven P. Nicklin, Robin D. Fisher, and Richard H. Middleton. Rolling Shutter Image Compensation , Lecture Notes in Computer Science 4434, pages 402-409, Spinger-Verlag Berlin/Heidelberg, 2007.

2006

  • Michael J. Quinlan. Machine Learning on AIBO Robots . PhD Thesis, The University of Newcastle, 2006. pdf.
  • S. K. Chalup, M. Dickinson, R. Fisher, R. H. Middleton, M. J. Quinlan, and P. Turner.Proposal of a Kit-Style Robot as the New Standard Platform for the Four-Legged League , In: Australasian Conference on Robotics and Automation (ACRA) 2006. link.
  • Michael J. Quinlan and Stephan K. Chalup. Impact of Tactical Variations in the RoboCup Four-Legged League , Proceedings of International Symposium on Practical Cognitive Agents and Robots (PCAR 2006) ISBN 1-74052-130-7.
  • Aaron Wong. Research and Assistance Into Rescue Robot , Final Year Project Thesis, 2006.
2004 - 2005

2005

  • Naomi Henderson. Digital Image Processing In Robot Vision , Final Year Project Thesis, 2005. pdf.
  • Kenny Hong. NUbots: Enhancements to Vision Processing, and Debugging Software for Robocup Soccer , Final Year Project Thesis, 2005. pdf.
  • Steven Nicklin. Object Recognition in Robotic Soccer, Final Year Project Thesis, 2005. pdf.
  • Joshua Marshall. RoboCup Rescue Robot , Final Year Project Thesis, 2004.
  • Stephen R. Young and Stephan K. Chalup. Towards Robot Soccer Team Behaviours Through Approximate Simulation , poster at the International Conference on Development and Learning (ICDL 2005), Osaka, 2005. pdf.

2004

  • Stephan K. Chalup and Craig L. Murch. Machine Learning in the Four Legged League , 3rd IFAC Symposium on Mechatronic Systems, 2004. link.
  • Craig L. Murch. Dimensionality Reduction on AIBO Robots. Honours Thesis, 2004.
  • Craig L. Murch and Stephan K. Chalup. Combining Edge Detection and Colour Segmentation in the Four-Legged League . Australasian Conference on Robotics and Automation (ACRA'2004), 2004. link.
  • Richard H. Middleton, Michaela Freeston, and Leonie McNeill. An application of the extended Kalman filter to robot soccer localisation and world modelling , 3rd IFAC Symposium on Mechatronic Systems, 2004. pdf.
  • Christopher J. Seysener, Craig L. Murch, and Richard H. Middleton. Extensions to Object Recognition in the Four-Legged League , pp. 274, In: Daniele Nardi, Martin Riedmiller, Claude Sammut, et al. RoboCup 2004: Robot Soccer World Cup VIII, Lecture Notes in Computer Science 3276, Springer-Verlag 2005. link.
  • Michael J. Quinlan, Stephan K. Chalup, and Richard H. Middleton. Application of SVMs for Colour Classification and Collision Detection with AIBO Robots. Advances in Neural Information Processing Systems (NIPS'2003), 2004. link.
  • Stephan K. Chalup, Richard H. Middleton, Robert King, Lee Andy Yung Li, Timothy Moore, Craig L. Murch, and Michael J. Quinlan . The NUbots' Team Description for 2004. RoboCup-2004: Robot Soccer World Cup VI, team description paper, 2004. pdf.
  • Michael J. Quinlan, Craig L. Murch, Richard H. Middleton, and Stephan K. Chalup.Traction Monitoring for Collision Detection with Legged Robots , pp. 374 - 384, In: Daniel Polani, Brett Browning, Andrea Bonarini, and Kazuo Yoshida. RoboCup 2003: Robot Soccer World Cup VII, Lecture Notes in Computer Science 3020, Springer-Verlag 2004 (received engineering challenge paper award). link.
2002 - 2003

2003

  • O. J. Coleman and S. K. Chalup. Towards Matching Perception in Simulated and Real World Robot Navigation. Australian Conference on Artificial Life (ACAL), 2003.
  • M. J. Quinlan, S. K. Chalup, and R. H. Middleton. Techniques for Improving Vision and Locomotion on the AIBO Robot. Australasian Conference on Robotics and Automation (ACRA'2003), 2003. pdf.
  • S. K. Chalup, R. H. Middleton, Quinlan M. J., and L. S. Wiklendt. Neurocomputational Aspects of Legged Locomotion Motor Control. (abstract) Proc. Aust. Neuroscience Soc., 2003.
  • Stephan K. Chalup, Oliver J. Coleman, Michaela N. Freeston, Richard H. Middleton, Craig L. Murch, Michael J. Quinlan, Christopher J. Seysener, and Graham D.Shanks.The NUbots' Team Description for 2003. RoboCup-2003: Robot Soccer World Cup V, team description paper, 2003. pdf.
  • Christopher Seysener. Vision Processing for RoboCup 2003/2004 , Final year project web pages, 2003 (received project award).
  • Michaela Freeston. Localization and World Modelling in Robot Soccer, Final year project web pages, 2003.
  • S. K. Chalup and A. D. Blair. Incremental training of first order recurrent neural networks to predict a context-sensitive language . Neural Networks, 16(7):955-972, 2003. link.

2002

  • Leonie Freeston. Application of The Kalman Filter Algorithm to Robot Localization and World Modelling, Final year project web pages, 2002. pdf.
  • William McMahan and Jared Bunting. So Your Puppy Can't See? Vision Processing for RoboCup'03 Sony Legged League, Final year project web pages, 2002.
  • Jianhua Yang, Vladimir Estivill-Castro, and Stephan Chalup. Support vector clustering through proximity graph modelling. In Lipo Wang, Jagath C. Rajapakse, Kunihiko Fukushima, Soo- Young Lee, and Xin Yao, editors, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP02), Computational Intelligence for the E-Age, Volume 5, pages 898-903. IEEE, 2002. link.