By Associate Professor Oliver Obst

Conference Papers

Nakashima T; Mifune S; Henrio J; Obst O; Wang P; Prokopenko M, 2015, 'Kick extraction for reducing uncertainty in RoboCup logs', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 622 - 633, http://dx.doi.org/10.1007/978-3-319-20618-9_61

Obst O; Trinchi A; Hardin SG; Chadwick M; Cole I; Muster TH; Hoschke N; Ostry D; Price D; Pham KN; Wark T, 2013, 'Nano-scale reservoir computing', in 2013 IEEE International Conference on Communications Workshops Icc 2013, pp. 804 - 808, http://dx.doi.org/10.1109/ICCW.2013.6649343

Zeman A; Brooks K; Obst O, 2013, 'Hierarchical feature representation reduces the Muller-Lyer effect', in PERCEPTION, PION LTD, pp. 223 - 223

Hartmann C; Boedecker J; Obst O; Ikemoto S; Asada M, 2013, 'Real-Time inverse dynamics learning for musculoskeletal robots based on echo state Gaussian process regression', in Robotics Science and Systems, pp. 113 - 120, http://dx.doi.org/10.15607/rss.2012.viii.015

Obst O; Riedmiller M, 2012, 'Taming the reservoir: Feedforward training for recurrent neural networks', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2012.6252506

Zeman A; Obst O; Rich AN, 2011, 'Exploring mechanisms behind the Muller-Lyer illusion using an artificial feed-forward object recognition model', in PERCEPTION, PION LTD, pp. 201 - 201

Obst O; Boedecker J; Asada M, 2010, 'Improving recurrent neural network performance using transfer entropy', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 193 - 200, http://dx.doi.org/10.1007/978-3-642-17534-3_24

Obst O, 2009, 'Poster abstract: Distributed fault detection using a recurrent neural network', in 2009 International Conference on Information Processing in Sensor Networks IPSN 2009, pp. 373 - 374

Obst O, 2009, 'Distributed Fault Detection using a Recurrent Neural Network', in 2009 INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN 2009), IEEE, CA, San Francisco, pp. 373 - 374, presented at 8th International Symposium on Information Processing Sensor Networks, CA, San Francisco, 13 April 2009 - 16 April 2009

Boedecker J; Obst O; Mayer NM; Asada M, 2009, 'Studies on reservoir initialization and dynamics shaping in echo state networks', in Esann 2009 Proceedings 17th European Symposium on Artificial Neural Networks Advances in Computational Intelligence and Learning, pp. 227 - 232

Obst O; Wang XR; Prokopenko M, 2008, 'Using echo state networks for anomaly detection in underground coal mines', in Proceedings 2008 International Conference on Information Processing in Sensor Networks IPSN 2008, pp. 219 - 229, http://dx.doi.org/10.1109/IPSN.2008.35

Wang XR; Lizier JT; Obst O; Prokopenko M; Wang P, 2008, 'Spatiotemporal anomaly detection in gas monitoring sensor networks', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 90 - 105, http://dx.doi.org/10.1007/978-3-540-77690-1_6

Mayer NM; Boedecker J; Da Silva Guerra R; Obst O; Asada M, 2007, '3D2Real: Simulation league finals in real robots', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 25 - 34, http://dx.doi.org/10.1007/978-3-540-74024-7_3

Obst O; Boedecker J, 2006, 'Flexible coordination of multiagent team behavior using HTN planning', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 521 - 528, http://dx.doi.org/10.1007/11780519_49

Dylla F; Ferrein A; Lakemeyer G; Murray J; Obst O; Röfer T; Stolzenburg F; Visser U; Wagner T, 2005, 'Towards a league-independent qualitative soccer theory for RoboCup', in Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science, pp. 611 - 618, http://dx.doi.org/10.1007/978-3-540-32256-6_58

Kögler M; Obst O, 2004, 'Simulation league: The next generation', in Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science, pp. 458 - 469, http://dx.doi.org/10.1007/978-3-540-25940-4_40

Obst O; Rollmann M, 2004, 'Spark - A generic simulator for physical multi-agent simulations', in Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science, pp. 243 - 257, http://dx.doi.org/10.1007/978-3-540-30082-3_18

Obst O, 2004, 'Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge', in Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science, pp. 518 - 525, http://dx.doi.org/10.1007/978-3-540-25940-4_47

Asada M; Obst O; Polani D; Browning B; Bonarini A; Fujita M; Christaller T; Takahashi T; Tadokoro S; Sklar E; Kaminka GA, 2003, 'An overview of RoboCup-2002 Fukuoka/Busan', in AI Magazine, pp. 21 - 40

Obst O, 2003, 'Simulation league - League summary', in Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science, pp. 443 - 452, http://dx.doi.org/10.1007/978-3-540-45135-8_40

Stolzenburg F; Obst O; Murray J, 2002, 'Qualitative velocity and ball interception', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 283 - 298, http://dx.doi.org/10.1007/3-540-45751-8_19

Murray J; Obst O; Stolzenburg F, 2002, 'RoboLog Koblenz 2001', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 526 - 530, http://dx.doi.org/10.1007/3-540-45603-1_75

Obst O, 2002, 'Specifying rational agents with statecharts and utility functions', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 173 - 182, http://dx.doi.org/10.1007/3-540-45603-1_18

Murray J; Obst O; Stolzenburg F, 2001, 'RoboLog Koblenz 2000', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 469 - 472, http://dx.doi.org/10.1007/3-540-45324-5_63

Murray J; Obst O; Stolzenburg F, 2001, 'Towards a logical approach for soccer agents engineering', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 199 - 208, http://dx.doi.org/10.1007/3-540-45324-5_18

Murray J; Obst O; Stolzenburg F, 2000, 'RoboLog koblenz', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 628 - 631, http://dx.doi.org/10.1007/3-540-45327-x_67

Stolzenburg F; Obst O; Murray J; Bremer B, 2000, 'Spatial agents implemented in a logical expressible language', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 481 - 494, http://dx.doi.org/10.1007/3-540-45327-x_41

Preprints

Pun SP; Obst O; Basilakis J; Ginige JA, 2026, Managing Map Cardinality in Automatic Disease Classification Mapping: Balancing Precision, Recall and Coverage, http://dx.doi.org/10.48550/arxiv.2606.29750

Stolzenburg F; Litz S; Michael O; Obst O, 2025, Efficient Time-Series Approximation with Linear Recurrent Neural Networks: Architecture Learning and Predictive Power, http://dx.doi.org/10.48550/arxiv.1802.03308

Koçyiğit M; Javadi B; Thomson R; Pfautsch S; Obst O, 2025, Operational machine learning for park-scale irrigation to support urban cooling, http://dx.doi.org/10.48550/arxiv.2508.11700

Ghadiri N; Javadi B; Obst O; Pfautsch S, 2024, Data Optimisation of Machine Learning Models for Smart Irrigation in Urban Parks, http://dx.doi.org/10.48550/arxiv.2410.02335

Qayyumi SW; Park LF; Obst O, 2024, A Unified Manifold Similarity Measure Enhancing Few-Shot, Transfer, and Reinforcement Learning in Manifold-Distributed Datasets, http://dx.doi.org/10.48550/arxiv.2408.07095

Trinh L; Anzuman A; Batkhuu E; Chan D; Graf L; Gurung D; Jamal T; Namgyal J; Ng J; Tsang WL; Wang XR; Yilmaz E; Obst O, 2024, TurtleRabbit 2024 SSL Team Description Paper, https://arxiv.org/abs/2402.08205v1

Weigend FC; Siegler J; Obst O, 2023, A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete, http://dx.doi.org/10.48550/arxiv.2104.07903

Weigend FC; Gray E; Obst O; Siegler J, 2022, Benefits and limitations of a new hydraulic performance model, http://dx.doi.org/10.48550/arxiv.2207.14295

Weigend FC; Clarke DC; Obst O; Siegler J, 2022, A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise, http://dx.doi.org/10.48550/arxiv.2108.04510

Mayer NM; Obst O, 2022, Analyzing Echo-state Networks Using Fractal Dimension, http://dx.doi.org/10.48550/arxiv.2205.09348

Kaur R; Ginige JA; Obst O, 2021, A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries, http://dx.doi.org/10.48550/arxiv.2107.10652

Michael O; Obst O; Schmidsberger F; Stolzenburg F, 2017, RoboCupSimData: A RoboCup soccer research dataset, http://dx.doi.org/10.48550/arxiv.1711.01703

Michael O; Obst O; Schmidsberger F; Stolzenburg F, 2017, Analysing Soccer Games with Clustering and Conceptors, http://dx.doi.org/10.48550/arxiv.1708.05821

Michael O; Obst O, 2017, BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning, http://dx.doi.org/10.48550/arxiv.1703.04115

Budden DM; Wang P; Obst O; Prokopenko M, 2014, Simulation leagues: Enabling replicable and robust investigation of complex robotic systems, http://dx.doi.org/10.48550/arxiv.1412.5711

Budden D; Wang P; Obst O; Prokopenko M, 2014, Simulation leagues: Analysis of competition formats, http://dx.doi.org/10.48550/arxiv.1403.4023

Obst O; Boedecker J, 2013, Guided Self-Organization of Input-Driven Recurrent Neural Networks, http://dx.doi.org/10.48550/arxiv.1309.1524

Obst O; Trinchi A; Hardin SG; Chadwick M; Cole I; Muster TH; Hoschke N; Ostry D; Price D; Pham KN; Wark T, 2013, Nano-scale reservoir computing, http://dx.doi.org/10.48550/arxiv.1309.1521

Obst O; Boedecker J; Schmidt B; Asada M, 2013, On active information storage in input-driven systems, http://dx.doi.org/10.48550/arxiv.1303.5526

Moore E; Obst O; Prokopenko M; Wang P; Held J, 2012, Gliders2012: Development and Competition Results, http://dx.doi.org/10.48550/arxiv.1211.3882

Obst O, 2009, Distributed Fault Detection in Sensor Networks using a Recurrent Neural Network, https://arxiv.org/abs/0906.4154v1

Francis A; Guo Y; Hurley P; Obst O; Park L; Tanaka M; Thomson R; Wang XR, Projected ICU and Mortuary load due to COVID-19 in Sydney, http://dx.doi.org/10.1101/2020.03.31.20049312

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