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[1] Nick Hawes, Jeremy Wyatt, and Aaron Sloman. Exploring design space for an integrated intelligent system. Knowledge-Based Systems, 2009.
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[2] Aaron Sloman. Machines in the Ghost. In D. Dietrich, G. Fodor, G. Zucker, and D. Bruckner, editors, Simulating the Mind: A Technical Neuropsychoanalytical Approach, pages 124-148. Springer, Vienna & New York, 2009. http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0702.
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[3] Aaron Sloman. Some Requirements for Human-like Robots: Why the recent over-emphasis on embodiment has held up progress. In B. Sendhoff, E. Koerner, O. Sporns, H. Ritter, and K. Doya, editors, Creating Brain-like Intelligence, pages 248-277. Springer-Verlag, Berlin, 2009. http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0804.
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[4] Aaron Sloman. Architectural and representational requirements for seeing processes and affordances. In Computational Modelling in Behavioural Neuroscience: Closing the gap between neurophysiology and behaviour. Psychology Press, London, 2009.
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[5] M. Sridharan, R. Dearden, and J. Wyatt. E-HiPPo: Extensions to Hierarchical POMDP-based Visual Planning on a Robot. In The 27th PlanSIG Workshop, December 11-12 2008.
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[6] Nick Hawes, Jeremy Wyatt, and Aaron Sloman. Exploring design space for an integrated intelligent system. In Max Bramer, Frans Coenen, and Miltos Petridis, editors, Research and Development in Intelligent Systems XXV: Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, England, December 2008. Springer.
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[7] Simone Frintrop and Patric Jensfelt. Attentional landmarks and active gaze control for visual SLAM. In IEEE Transactions on Robotics, special Issue on Visual SLAM, volume 24, October 2008.
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[8] M. Sridharan, J. Wyatt, and R. Dearden. HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. In International Conference on Automated Planning and Scheduling (ICAPS), September 14-18 2008.
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[9] G.J.M. Kruijff, M. Brenner, and N.A. Hawes. Continual planning for cross-modal situated clarification in human-robot interaction. In Proceedings of the 17th International Symposium on Robot and Human Interactive Communication (RO-MAN 2008), Munich, Germany, August 2008.
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[10] P. Lison. A salience-driven approach to speech recognition for human-robot interaction. In Proceedings of the ESSLLI 2008 Student Session, Hamburg, Germany, August 2008.
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[11] P. Lison and G.J.M. Kruijff. Salience-driven contextual priming of speech recognition for human-robot interaction. In Proceedings of ECAI 2008, Athens, Greece, July 2008.
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[12] Oscar Martinez Mozos. Semantic Place Labeling with Mobile Robots. PhD thesis, University of Freiburg, Freiburg, Germany, July 2008.
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[13] Aaron Sloman. Kantian Philosophy of Mathematics and Young Robots. In S. Autexier, J. Campbell, J. Rubio, V. Sorge, M. Suzuki, and F. Wiedijk, editors, Intelligent Computer Mathematics, LLNCS no 5144, pages 558-573, Berlin/Heidelberg, July 2008. Springer. http://www.cs.bham.ac.uk/research/projects/cosy/papers#tr0802.
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[14] S. Fidler, B. Boben, and A. Leonardis. Similarity-based cross-layered hierarchical representation for object categorization. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Alaska, USA, June 2008.
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[15] Mario Fritz and Bernt Schiele. Decomposition, discovery and detection of visual categories using topic models. In Proceedings of CVPR, June 2008.
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[16] Nick Hawes and Jeremy Wyatt. Benchmarking the influence of information-processing architectures on intelligent systems. In Proceedings of the Robotics: Science & Systems 2008 Workshop: Experimental Methodology and Benchmarking in Robotics Research, June 2008.
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[17] J. Sturm, C. Plagemann, and W. Burgard. Adaptive body scheme models for robust robotic manipulation. In Robotics: Science and Systems (RSS), Zurich, Switzerland, June 2008.
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[18] J. Sturm, C. Plagemann, and W. Burgard. Body scheme learning and life-long adaptation for robotic manipulation. In Proceedings of the Workshop on Robot Manipulation at Robotics: Science and Systems Conference (RSS), Zurich, Switzerland, June 2008.
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[19] A. Lockerd Thomaz, G.J.M. Kruijff, H. Jacobssonn, and D. Skocaj. Interactive Robot Learning - RSS 2008 workshop. Zurich, Switzerland, June 2008.
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[20] Christian Wojek, Gyuri Dorkó, Andre Schulz, and Bernt Schiele. Sliding-windows for rapid object-class localization: a parallel technique. In Proceedings of DAGM, June 2008.
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[21] Christian Wojek and Bernt Schiele. A performance evaluation of single and multi-cue people detection. In Proceedings of DAGM, June 2008.
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[22] H. Zender, O. Martínez Mozos, P. Jensfelt, G.J.M. Kruijff, and W. Burgard. Conceptual spatial representations for indoor mobile robots. Robotics and Autonomous Systems, 56(6), June 2008. Special Issue From Sensors to Human Spatial Concepts.
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[23] G.J.M. Kruijff, H. Zender, M. Hanheide, and B. Wrede. Proceedings of the ICRA 2008 Workshop: Social Interaction with Intelligent Indoor Robots (SI3R). ICRA, Pasadena, CA, USA, May 2008.
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[24] A. Pronobis, O. Martínez Mozos, and B. Caputo. SVM-based discriminative accumulation scheme for place recognition. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'08), Pasadena, CA, USA, May 2008.
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[25] Michael Stark, Philipp Lies, Michael Zillich, Jeremy Wyatt, and Bernt Schiele. Functional object class detection based on learned affordance cues. In 6th International Conference on Computer Vision Systems (ICVS), May 2008. Accepted.
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[26] M. M. Ullah, A. Pronobis, B. Caputo, J. Luo, P. Jensfelt, and H. I. Christensen. Towards robust place recognition for robot localization. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'08), Pasadena, CA, USA, May 2008.
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[27] H. Jacobsson, N.A. Hawes, G.J.M. Kruijff, and J. Wyatt. Crossmodal content binding in information-processing architectures. In Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI), Amsterdam, The Netherlands, March 2008.
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[28] M. Kristan, D. Skocaj, and A. Leonardis. Incremental learning with Gaussian mixture models. In Computer Vision Winter Workshop CVWW 2008, pages 25-32, Moravske toplice, Slovenia, February 2008.
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[29] Michael Brenner. Continual collaborative planning for mixed-initiative action and interaction. In Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008.
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[30] Michael Brenner and Ivana Kruijff-Korbayova. A continual multiagent planning approach to situated dialogue. In Proceedings of the 12th Workshop on the Semantics and Pragmatics of Dialogue (LonDial 2008), 2008.
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[31] Michael Brenner and Bernhard Nebel. Continual planning and acting in dynamic multiagent environments. Journal of Autonomous Agents and Multiagent Systems, 2008.
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[32] Patrick Eyerich, Michael Brenner, and Bernhard Nebel. On the complexity of planning operator subsumption. In Proceedings of the Eleventh International Conference on Principles of Knowledge Representation and Reasoning (KR 2008), 2008.
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[33] Simone Frintrop and Patric Jensfelt. Active gaze control for attentional visual SLAM. In Proceedings of the International Conference on Robotics and Automation (ICRA'08), 2008.
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[34] S. Hongeng and J. Wyatt. Learning Causality and Intentional Actions, pages 27-46. LNAI: Towards Affordance-Based Robot Control. Springer, 2008.
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[35] M. Kristan, J. Perš, S. Kovacic, and A. Leonardis. A local-motion-based probabilistic model for visual tracking. Pattern Recognition, 2008. accepted for publication.
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[36] M. Kristan, D. Skocaj, and A. Leonardis. Online kernel density estimation for interactive learning. Image and Vision Computing, 2008.
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[37] Dorian Gálvez López, Kristoffer Sjö, Chandana Paul, and Patric Jensfelt. Hybrid laser and vision based object search and localization. In Proceedings of the International Conference on Robotics and Automation (ICRA'08), 2008.
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[38] Bastian Leibe, Alan Ettlin, and Bernt Schiele. Learning semantic object parts for object categorization. Image Vision Comput., 26(1):15-26, 2008.
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[39] B. Leibe, A. Leonardis, and B. Schiele. Robust object detection with interleaved categorization and segmentation. International Journal of Computer Vision, (1-3):259-289, 2008.
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[40] C. Plagemann, K. Kersting, and W. Burgard. Nonstationary gaussian process regression using point estimates of local smoothness. In Proc. of the European Conference on Machine Learning (ECML), Antwerp, Belgium, 2008.
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[41] C. Plagemann, S. Mischke, S. Prentice, K. Kersting, N. Roy, and W. Burgard. Learning predictive terrain models for legged robot locomotion. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nice, France, 2008.
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[42] B. Ridge, D. Skocaj, and A. Leonardis. A system for learning basic object affordances using a self-organizing map. In International Conference on Cognitive Systems CogSys 2008, Karlsruhe, Germany, 2008.
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[43] B. Ridge, D Skocaj, and A Leonardis. Towards learning basic object affordances from object properties. In Proceedings of Eight International Conference on Epigenetic Robotics, 2008.
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[44] Paul Schnitzspan, Mario Fritz, and Bernt Schiele. Hierarchical support vector random fields: Joint training to combine local and global features. In European Conference on Computer Vision (ECCV), Marseille, France, 2008.
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[45] Kristoffer Sjö and Chandana Paul. Object localization using bearing only visual detection. In Proceedings of the 10th International Conference on Intelligent Autonomous Systems, july 2008.
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[46] D. Skocaj, M. Kristan, and A. Leonardis. Continuous learning of simple visual concepts using incremental kernel density estimation. In International Conference on Computer Vision Theory and Applications, pages 598-604, Funchal, Madeira, Portugal, January 2008.
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[47] D. Skocaj and A. Leonardis. Incremental and robust learning of subspace representations. Image vis. comput., 26(1):27-38, 2008.
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[48] Aaron Sloman. Architectural and representational requirements for seeing processes, proto-affordances and affordances. In Anthony G. Cohn, David C. Hogg, Ralf Möller, and Bernd Neumann, editors, Logic and Probability for Scene Interpretation, number 08091 in Dagstuhl Seminar Proceedings, Dagstuhl, Germany, 2008. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany.
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[49] Aaron Sloman. Varieties of Meta-cognition in Natural and Artificial Systems. In M. T. Cox and A. Raja, editors, Workshop on Metareasoning, AAAI'08 Conference, pages 12-20, Menlo Park, CA, 2008. AAAI Press. http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0803.
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[50] A. Sloman. Putting the Pieces Together Again. In Ron Sun, editor, Cambridge Handbook on Computational Psychology, chapter 26, pages 684-709. Cambridge University Press, New York, 2008. http://www.cs.bham.ac.uk/research/projects/cogaff/07.html#710.
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[51] A. Sloman. The Well-Designed Young Mathematician. Artificial Intelligence, 172(18):2015-2034, 2008. http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0807.
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[52] C. Stachniss, O. Martinez Mozos, and W. Burgard. Efficient exploration of unknown indoor environments using a team of mobile robots. Annals of Mathematics and Artificial Intelligence, accepted, 2008.
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[53] J. Sturm, C. Plagemann, and W. Burgard. Unsupervised body scheme learning through self-perception. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), pages 3328-3333, Pasadena, CA, USA, 2008.
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[54] R. Triebel, O. Mozos, and W. Burgard. Relational Learning in Mobile Robotics: An Application to Semantic Labeling of Objects in 2D and 3D Environment Maps, chapter Studies in Classification, Data Analysis, and Knowledge Organization, pages 293-300. Springer-Verlag, 2008.
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[55] Jeremy Wyatt and Nick Hawes. Multiple workspaces as an architecture for cognition. In Proceedings of AAAI 2008 Fall Symposium on Biologically Inspired Cognitive Architectures, 2008. To appear.
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Last modified: 10.1.2009 10:57:21