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[1] Henrik Jacobsson, Nick Hawes, Geert-Jan Kruijff, and Jeremy Wyatt. Crossmodal content binding in information-processing architectures. In Luis Seabra Lopes, Tony Belpaeme, and Stephen J. Cowley, editors, Symposium on Language and Robots (LangRo 2007), pages 43-52, Aveiro, Portugal, December 2007.
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[2] H. Jacobsson, N. Hawes, D. Skocaj, and GJ Kruijff. Interactive learning and cross-modal binding - a combined approach. In Language and robots : proceedings of the symposium, pages 53-54, Aveiro, Portugal, December 2007.
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[3] G.J.M. Kruijff and M. Staudte. Producing believeable robot gaze when comprehending visually situated dialogue. In Language and Robots: Proceedings from the Symposium (LangRo'2007), Aveiro, Portugal, December 2007.
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[4] Geert-Jan M. Kruijff, Pierre Lison, Trevor Benjamin, Henrik Jacobsson, and Nick Hawes. Incremental, multi-level processing for comprehending situated dialogue in human-robot interaction. In Luis Seabra Lopes, Tony Belpaeme, and Stephen J. Cowley, editors, Symposium on Language and Robots (LangRo 2007), Aveiro, Portugal, December 2007.
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[5] H. Zender and G.J.M. Kruijff. Towards generating referring expressions in a mobile robot scenario. In Language and Robots: Proceedings from the Symposium (LangRo'2007), Aveiro, Portugal, December 2007.
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[6] A. Leonardis and S. Fidler. Learning hierarchical representations of object categories for robot vision. In 13th International Symposium of Robotics Research (ISRR), Hiroshima, Japan, November 2007.
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[7] O. Martínez Mozos, P. Jensfelt, H. Zender, G.J.M. Kruijff, and W. Burgard. An integrated system for conceptual spatial representations of indoor environments for mobile robots. In Proceedings of the IROS 2007 Workshop: From Sensors to Human Spatial Concepts (FS2HSC), San Diego, CA, USA, November 2007.
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[8] Dušan Omercevic, Ondrej Drbohlav, and Aleš Leonardis. High-dimensional feature matching: Employing the concept of meaningful nearest neighbors. In Eleventh IEEE International Conference on Computer Vision ICCV 2007, Rio de Janeiro, Brazil, October 14-20 2007.
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[9] John Folkesson, Patric Jensfelt, and Henrik Christensen. The m-space feature representation for slam. IEEE Transactions on Robotics, 23(5):1024-1035, October 2007.
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[10] J. Luo, A. Pronobis, B. Caputo, and P. Jensfelt. Incremental learning for place recognition in dynamic environments. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'07), San Diego, CA, USA, October 2007.
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[11] A. Pronobis and B. Caputo. Confidence-based cue integration for visual place recognition. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'07), San Diego, CA, USA, October 2007.
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[12] Michael Stark and Bernt Schiele. How good are local features for classes of geometric objects. In Eleventh IEEE International Conference on Computer Vision (ICCV), October 2007. Accepted.
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[13] K. Kersting, C. Plagemann, A. Cocora, W. Burgard, and L. De Raedt. Learning to transfer optimal navigation policies. Advanced Robotics. Special Issue on Imitative Robots, 21(9), September 2007.
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[14] Nick Hawes, Michael Zillich, and Jeremy Wyatt. BALT & CAST: Middleware for cognitive robotics. In Proceedings of IEEE RO-MAN 2007, pages 998 - 1003, August 2007.
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[15] H. Zender, P. Jensfelt, and G.J.M. Kruijff. Human- and situation-aware people following. In Proceedings of the 16th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2007), Jeju Island, Korea, August 2007.
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[16] Nick Hawes, Aaron Sloman, and Jeremy Wyatt. Towards an empirical exploration of design space. In Gal A. Kaminka and Catherina R. Burghart, editors, Evaluating Architectures for Intelligence: Papers from the 2007 AAAI Workshop, pages 31 - 35, Vancouver, Canada, July 2007. AAAI Press.
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[17] Nick Hawes, Aaron Sloman, Jeremy Wyatt, Michael Zillich, Henrik Jacobsson, Geert-Jan Kruijff, Michael Brenner, Gregor Berginc, and Danijel Skocaj. Towards an integrated robot with multiple cognitive functions. In Robert C. Holte and Adele Howe, editors, Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI 2008), pages 1548 - 1553, Vancouver, Canada, July 2007. AAAI Press.
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[18] H. Zender, P. Jensfelt, O. Martínez Mozos, G.J.M. Kruijff, and W. Burgard. An integrated robotic system for spatial understanding and situated interaction in indoor environments. In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-07), pages 1584-1589, Vancouver, Canada, July 2007. Special Track on Integrated Intelligence.
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[19] S. Fidler and A. Leonardis. Towards scalable representations of object categories: Learning a hierarchy of parts. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minnesota, USA, June 2007.
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[20] T. Lang, C. Plagemann, and W. Burgard. Adaptive non-stationary kernel regression for terrain modeling. In Robotics: Science and Systems (RSS), Atlanta, Georgia, USA, June 2007.
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[21] C. Plagemann, K. Kersting, P. Pfaff, and W. Burgard. Gaussian beam processes: A nonparametric bayesian measurement model for range finders. In Robotics: Science and Systems (RSS), Atlanta, Georgia, USA, June 2007.
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[22] R. Looije, M. Neerincx, and G.J.M. Kruijff. Affective collaborative robots for safety & crisis management in the field. In Proceedings of the 4th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2007), Delft, The Netherlands, May 2007.
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[23] O. Martínez Mozos, R. Triebel, P. Jensfelt, A. Rottmann, and W. Burgard. Supervised semantic labeling of places using information extracted from sensor data. Robotics and Autonomous Systems, 55(5):391-402, May 2007.
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[24] Oscar Martínez Mozos, Rudolph Triebel, Patric Jensfelt, Axel Rottmann, and Wolfram Burgard. Supervised semantic labeling of places using information extracted from laser and vision sensor data. Robotics and Autonomous Systems Journal, 55(5):391-402, May 2007.
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[25] D. Skocaj, A. Leonardis, and H. Bischof. Weighted and robust learning of subspace representations. Pattern recogn., 40(5):1556-1569, May 2007.
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[26] H. Jacobsson, G.J.M. Kruijff, and M. Staudte. From rule extraction to active learning symbol grounding. In Proceedings of the ICRA-07 Workshop on Concept Learning for Embodied Agents, Rome, Italy, April 2007.
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[27] O. Martinez Mozos, P. Jensfelt, H. Zender, G.J.M. Kruijff, and W. Burgard. From labels to semantics: An integrated system for conceptual spatial representations of indoor environments for mobile robots. In Proceedings of the ICRA-07 Workshop on Semantic Information in Robotics, Rome, Italy, April 2007.
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[28] M. Fritz, G.J.M. Kruijff, and B. Schiele. Cross-modal learning of visual categories using different levels of supervision. In Proceedings of the International Conference on Computer Vision Systems (ICVS 2007), Bielefeld, Germany, March 2007.
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[29] K. Kersting, C. Plagemann, P. Pfaff, and W. Burgard. Most likely heteroscedastic gaussian process regression. In International Conference on Machine Learning (ICML), Corvallis, Oregon, USA, March 2007.
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[30] G.J.M. Kruijff and M. Brenner. Modelling spatio-temporal comprehension in situated human-robot dialogue as reasoning about intentions and plans. In Proceedings of the Symposium on Intentions in Intelligent Systems, Stanford University, Palo Alto, CA, USA, March 2007. AAAI Spring Symposium Series 2007.
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[31] D. Skocaj, G. Berginc, B. Ridge, A. Štimec, M. Jogan, O. Vanek, A. Leonardis, M. Hutter, and N. Hewes. A system for continuous learning of visual concepts. In International Conference on Computer Vision Systems ICVS 2007, Bielefeld, Germany, March 2007.
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[32] H. Zender and G.J.M. Kruijff. Multi-layered conceptual spatial mapping for autonomous mobile robots. In Proceedings of the Symposium on Intentions in Intelligent Systems, Stanford University, Palo Alto, CA, USA, March 2007. AAAI Spring Symposium Series 2007.
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[33] D. Skocaj, B. Ridge, G. Berginc, and A. Leonardis. A framework for continuous learning of simple visual concepts. In Computer Vision Winter Workshop 2007, pages 99-105, St. Lambrecht, Austria, February 2007.
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[34] K. O. Arras, O. Martínez Mozos, and W. Burgard. Using boosted features for the detection of people in 2d range data. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2007.
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[35] M. Ballesta, A. Gil, O. Martínez Mozos, and O. Reinoso. Local descriptors for visual slam. In Proc. of the Workshop on Robotics and Mathematics, Coimbra, Portugal, 2007.
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[36] M. Brenner, N. Hawes, J. Kelleher, and J. Wyatt. Mediating between qualitative and quantitative representations for task-orientated human-robot interaction. In Proc. of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007.
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[37] Jackie Chappell and Aaron Sloman. Natural and artificial meta-configured altricial information-processing systems. International Journal of Unconventional Computing, 3(3):211-239, 2007. http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0609.
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[38] H. Jacobsson, S.L. Frank, and D. Federici. Automated abstraction of dynamic neural systems for natural language processing. In Proceedings of IJCNN 2007, 2007.
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[39] H. Jacobsson, G.J.M. Kruijff, and M. Staudte. Language acquisition from neural and sensorimotor systems. In Proceedings of the PASCAL workshop on Machine Learning and Cognitive Science of Language Acquisition, 2007.
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[40] G.J.M. Kruijff, H. Zender, P. Jensfelt, and H.I. Christensen. Situated dialogue and spatial organization: What, where... and why? International Journal of Advanced Robotic Systems, 4(2), 2007. Special Issue on Human and Robot Interactive Communication.
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[41] C. Plagemann, D. Fox, and W. Burgard. Efficient failure detection on mobile robots using particle filters with gaussian process proposals. In Proc. of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, 2007.
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[42] Edgar Seemann, Mario Fritz, and Bernt Schiele. Towards robust pedestrian detection in crowded image sequences. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, 0:1-8, 2007.
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[43] Aaron Sloman. Why Some Machines May Need Qualia and How They Can Have Them: Including a Demanding New Turing Test for Robot Philosophers. In A. Chella and R. Manzotti, editors, AI and Consciousness: Theoretical Foundations and Current Approaches AAAI Fall Symposium 2007, Technical Report FS-07-01, pages 9-16, Menlo Park, CA, 2007. AAAI Press. http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0705.
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[44] Aaron Sloman. Diversity of Developmental Trajectories in Natural and Artificial Intelligence. In C. T. Morrison and T. Tim Oates, editors, Computational Approaches to Representation Change during Learning and Development. AAAI Fall Symposium 2007, Technical Report FS-07-03, pages 70-79, Menlo Park, CA, 2007. AAAI Press. http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0704.
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[45] Aaron Sloman and Jackie Chappell. Computational Cognitive Epigenetics (Commentary on Jablonka and Lamb: Evolution in Four Dimensions (2005)). Behavioral and Brain Sciences, 30(4):375-6, 2007. http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0703.
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[46] Cyrill Stachniss, Giorgio Grisetti, Óscar Martínez Mozos, and Wolfram Burgard. Efficiently learning metric and topological maps with autonomous service robots. it-Information Technology, 49(4):232-237, 2007.
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[47] Rudolph Triebel, Óscar Martínez Mozos, and Wolfram Burgard. Studies in Classification, Data Analysis, and Knowledge Organization, chapter Relational Learning in Mobile Robotics: An Application to Semantic Labeling of Objects in 2D and 3D Environment Maps. 2007.
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[48] R. Triebel, R. Schmidt, O. Martínez Mozos, and W. Burgard. Instace-based amn classification for improved object recognition in 2d and 3d laser range data. In Proc. of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), pages 2225-2230, Hyderabad, India, 2007.
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[49] M. Uray, D. Skocaj, P. Roth, H. Bischof, and A. Leonardis. Incremental LDA learning by combining reconstructive and discriminative approaches. In British machine vision conference 2007, pages 272-281, 2007.
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Last modified: 10.1.2009 10:41:54