First-MM

	Lifelong localization in changing environments Gian Diego Tipaldi, Daniel Meyer-Delius, and Wolfram Burgard International Journal of Robotics Research (IJRR), 32:1662–1678 2013 http://ijr.sagepub.com/cgi/content/abstract/32/14/1662 tipaldi13ijrr.pdf
	On the representation of anthropomorphic robot hands: Shape versus function R. de Souza, A. Bernardino, J. Santos-Victor, and A. Billard Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 791–798 2012 souza12humanoids.pdf
	Multi- object detection and pose estimation in 3d point clouds: A fast grid-based Bayesian filter R. P. Figueiredo, P. Moreno, A. Bernardino, and J. Santos-Victor Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4250–4255 2013 figueiredo13icra.pdf
	Fast 3D object recognition of rotationally symmetric objects R. Figueiredo, P. Moreno, and A. Bernardino Pattern Recognition and Image Analysis (J. M. Sanches, M. Luisa, and J. S. Cardoso, eds.), vol. 7887 of Lecture Notes in Computer Science, pp. 125–132, Springer Berlin Heidelberg 2013 figueiredo13ibpria.pdf
	Efficient Sequential Clamping for Lifted Message Passing F. Hadiji and B. Ahmadi and K. Kersting In Proceedings of the 34th Annual German Conference on Artificial Intelligence (K-11) 2011 hadiji11ki.pdf
	Lidar-based teach-and-repeat of mobile robot trajectories C. Sprunk, G.D. Tipaldi, A. Cherubini, and W. Burgard In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Tokyo, Japan 2013 sprunk13iros.pdf
	Efficient grid-based spatial representations for robot navigation in dynamic environments B. Lau, C. Sprunk, and W. Burgard Robotics and Autonomous Systems, vol. 61, no. 10 2013 lau13ras.pdf
	Interactive Perception for Learning the Dynamics of Articulated Objects F. Endres, J. Trinkle, and W. Burgard In the Proceedings of the ICRA 2013 Mobile Manipulation Workshop on Interactive Perception 2013 endres13icra_ws.pdf
	Learning the dynamics of doors for robotic manipulation F. Endres, J. Trinkle, and W. Burgard In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) 2013 endres13iros.pdf
	Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP F. Hadiji and K. Kersting In Proceedings of the Twenty–Seventh AAAI Conference on Artificial Intelligence (AAAI–13) 2013 hadiji13aaai.pdf
	Exploiting Symmetries for Scaling Loopy Belief Propagation and Relational Training B. Ahmadi, K. Kersting, M. Mladenov, and S. Natarajan Machine Learning Journal 2013 ahmadi13mlj.pdf
	Pairwise Markov Logic D. Fierens, K. Kersting, J. Davis, J. Chen, and M. Mladenov Post–Proceedings of the 22nd International Conference on Inductive Logic Programming (ILP–2012) 2013 fierens12ilp_pairwise.pdf
	Learning Relational Probabilistic Models from Partially Observed Data - Opening the Closed-World Assumption T. Khot, S. Natarajan, K. Kersting, and J. Shavlik Post–Proceedings of the 23nd International Conference on Inductive Logic Programming (ILP–2013) 2013 khot13ilp_open.pdf
	Coinciding Walk Kernels M. Neumann, R. Garnett, and K. Kersting Working Notes of the International Workshop on Mining and Learning with Graphs (MLG 2013) at KDD 2013 2013 neumann13mlg_kernels.pdf
	Graph Kernels for Object Category Prediction in Task-Dependent Robot Grasping M. Neumann, P. Moreno, L. Antanas, R. Garnett, and K. Kersting Working Notes of the International Workshop on Mining and Learning with Graphs (MLG 2013) at KDD 2013 2013 neumann2013mlg_grasping.pdf
	Accelerating Imitation Learning in Relational Domains via Transfer by Initialization S. Natarajan, P. Odom, S. Joshi, T. Khot, K. Kersting, and P. Tadepalli Post–Proceedings of the 23nd International Conference on Inductive Logic Programming (ILP–2013) 2013 natarajan13ilp_transfer.pdf
	Dimension Reduction via Color Refinement M. Grohe, K. Kersting, M. Mladenov, and E. Selman CoRR 2013 grohe13arxiv_fa.pdf
	Robust multi-hypothesis 3d object pose tracking G. Chliveros, M. Pateraki, and P. Trahanias International Conference on Computer Vision Systems (ICVS) 2013 chliveros13icvs.pdf
	Visual human-robot communication in social settings M. Pateraki, M. Sigalas, G. Chliveros, and P. Trahanias Workshop on Semantics, Identification and Control of Robot-Human-Environment Interaction, held within the IEEE International Conference on Robotics and Automation (ICRA) 2013 pateraki13icraws.pdf
	A compliant hand based on a novel pneumatic actuator R. Deimel and O. Brock Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2013 deimel13icra.pdf
	Towards Bayesian grasp optimization with wrench space analysis F. Veiga and A. Bernardino IROS 2012 Workshop: Beyond Robot Grasping - Modern Approaches for Learning Dynamic Manipulation 2012 veiga12irosws.pdf
	Octomap: An efficient probabilistic 3D mapping framework based on octrees A. Hornung, K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard Autonomous Robots, 2013. In Press. hornung13auro.pdf
	Augmented-svm: Automatic space partition- ing for combining multiple non-linear dynamics A. Shukla and A. Billard Advances in Neural Information Processing Systems 25 (P. Bartlett, F. Pereira, C. Burges, L. Bottou, and K. Weinberger, eds.), pp. 1025–1033 2012 shukla12nips.pdf
	Reaching and grasping kitchenware objects R. Figueiredo, A. Shukla, D. Aragao, P. Moreno, A. Bernardino, J. Santos-Victor, and A. Billard In Proceedings of International Symposium on System Integra- tion (SII) 2012 figueiredo12sii.pdf
	Lifted probabilistic inference K. Kersting In Proceedings of 20th European Conference on Artificial Intelligence (ECAI–2012) (L. D. Raedt, C. Bessiere, D. Dubois, P. Doherty, P. Frasconi, F. Heintz, and P. Lucas, eds.), (Montpellier, France), ECCAI 2012 kersting2012ecai_faia.pdf
	Efficiently learning to hash proportional data Z. Xu, K. Kersting, and C. Bauckhage In Proceedings of the IEEE Conference on Data Mining (ICDM–2012) 2012 xu12icdm.pdf
	Exploration in relational domains for model–based reinforcement learning T. Lang, M. Toussaint, and K. Kersting Journal of Machine Learning Re- search (JMLR), vol. 13(Dec), pp. 3691–3734 2012 lang12jmlr.pdf
	Symbolic dynamic programming for continuous state and observation pomdps Z. Zamani, S. Sanner, P. Poupart, and K. Kersting Advances in Neural Information Processing Systems 26 (NIPS–2012) 2012 zamani12nips.pdf
	On the position accuracy of mobile robot localization based on particle filters combined with scan matching J. Roewekaemper, C. Sprunk, G.D. Tipaldi, C. Stachniss, P. Pfaff, and W. Burgard In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2012 roewekaemper12iros.pdf
	Nonparametric Bayesian models for unsupervised scene analysis and reconstruction Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard, Cyrill Stachniss, and Wolfram Burgard In Proceedings of Robotics: Science and Systems (RSS) 2012 joho12rss.pdf
	Structure learning with hidden data in relational domains T. Khot, S. Natarajan, K. Kersting, and J. Shavlik In ICML-2012 Workshop on Statistical Relational Learning (SRL) 2012 khot12srl.pdf
	Lifted parameter learning in relational models B. Ahmadi, K. Kersting, and S. Natarajan In ICML-2012 Workshop on Statistical Relational Learning (SRL) 2012 ahmadi12srl.pdf
	Learning to grasp from point clouds P. Moreno, J. Hörnstein, and J. Santos-Victor Tech. Rep. Vislab-TR001/2011, Department of Electrical and Computers Engineering, Instituto Superior Técnico, Portugal, 2011 moreno11tr.pdf
	Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions L. Montesano and M. Lopes Robotics and Autonomous Systems, vol. 60, no. 3, pp. 452–462 2012 montesano12ras.pdf
	Visual tracking of hands, faces and facial features as a basis for human-robot communication M. Pateraki, H. Baltzakis, and P. Trahanias in Proc. of the Workshop on Visual Tracking and Omnidirectional Vi- sion, held within the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Fransisco, USA 2011 pateraki11irosws.pdf
	Visual estimation of pointed targets for robot guidance via fusion of face pose and hand orientation M. Pateraki, H. Baltzakis, and P. Trahanias In 1st IEEE Workshop on Challenges and Opportunities in Robot Perception, held within the 13th IEEE International Conference on Computer Vision (ICCV), pp. 1060 –1067 2011 pateraki11iccvws.pdf
	Using dempsters rule of combination to robustly estimate pointed targets M. Pateraki, H. Baltzakis, and P. Trahanias In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA 2012 pateraki12icra.pdf
	Visual tracking of hands, faces and facial features of multiple persons H. Baltzakis, M. Pateraki, and P. Trahanias Machine Vision and Ap- plications, pp. 1–17 2012 baltzakis12mva.pdf
	On Continuous Distributions and Parameter Estimation in Probabilistic Logic Programs B. Gutmann PhD thesis, Informatics Section, Depart- ment of Computer Science, Faculty of Engineering Science. De Raedt, Luc (supervisor). 2011 gutmann11thesis.pdf
	Stochastic Relational Processes and Models: Learning and Rea- soning I. Thon PhD thesis, Informatics Section, Department of Computer Sci- ence, Faculty of Engineering Science.De Raedt, Luc (supervisor) 2011 thon11thesis.pdf
	Coupled dynamical system based arm-hand grasping model for learning fast adaptation strategies under real-time perturbations A. Shukla and A. Billard Robotics and Autonomous Systems, vol. 60, pp. 424–440 2012 ashwini12ras.pdf
	Robot learning from failed demonstra- tions D. Grollman and A. Billard International Journal of Social Robotics 2012 grollman12ijsr.pdf
	Propagation kernels for partially labeled graphs M. Neumann, R. Garnett, P. Moreno, N. Patricia, and K. Kersting In ICML Work shop on Mining and Learning with Graphs (MLG) 2012 neumann12icmlws.pdf
	Efficient Graph Kernels by Randomization M. Neumann, N. Patricia, R. Garnett, and K. Kersting In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML–PKDD) 2012 neumann12ecmlpkdd.pdf
	Lifted online training of re lational models with stochastic gradient methods B. Ahmadi, K. Kersting, and S. Natarajan In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2012 ahmadi12ecmlpkdd.pdf
	Statistical relational learning of object affordances for robotic manipulation Latest Advances in Inductive Logic Programming, Imperial College Press 2012 moldovan12icilp.pdf
	Learning relational affordance models for robots in multi- object manipulation tasks B. Moldovan, P. Moreno, M. van Otterlo, J. Santos-Victor, and L. De Raedt In Proc. of the IEEE International Confer- ence on Robotics and Automation (ICRA), St Paul, Minnesota, USA 2012 moldovan12icra.pdf
	Scene in the loop: Towards adaptation-by-tracking in RGB-D Data L. Spinello, C. Stachniss, and W. Burgard In Proc. of The Workshop on RGB-D: Advanced Reasoning with Depth Cameras (RSS) 2012 spinelloRSSws12.pdf
	An Evaluation of the RGB-D SLAM System F. Endres, J. Hess, N. Engelhard, J. Sturm, D. Cremers, and W. Burgard In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA 2012 endres12icra.pdf
	From Low-Level Trajectory Demonstrations to Symbolic Actions for Planning N. Abdo, H. Kretzschmar, and C. Stachniss In Proc. of the ICAPS Workshop on Combining Task and Motion Planning for Real-World Applications (TAMPRA), Atibaia, Sao Paulo, Brazil 2012 abdo12tampra.pdf
	Improved Non-linear Spline Fitting for Teaching Trajectories to Mobile Robots Christoph Sprunk, Boris Lau, and Wolfram Burgard Proc. of the IEEE International Conference on Robotics and Automation (ICRA), St. Paul, MN, USA 2012 sprunk12icra.pdf
	Navigation in Three-Dimensional Cluttered Environments for Mobile Manipulation A. Hornung, M. Phillips, E. G. Jones, M. Bennewitz, M. Likhachev, S. Chitta In Proc. of the IEEE International Conference on Robotics & Automation (ICRA) 2012 hornung12icra.pdf
	Learning Markov logic networks via functional gradient boosting T. Khot, S. Natarajan, K. Kersting, and J. Shavlik In Proc. of the IEEE International Conference on Data Mining (ICDM), Vancouver, Canada 2011 khot11icdm.pdf
	Multi-task learning with task relations Z. Xu and K. Kersting In Proc. of the IEEE International Conference on Data Mining (ICDM), Vancouver, Canada 2011 xu11icdm.pdf
	Lifted linear programming M. Mladenov, B. Ahmadi, and K. Kersting In Proc. of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS 2012), La Palma, Canary Islands, Spain 2012 mladenov12aistats.pdf
	Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data M. Schiegg, M. Neumann, and K. Kersting In Proc. of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS 2012), La Palma, Canary Islands, Spain 2012 schiegg12aistats.pdf
	Incremental Updates of Configuration Space Representations for Non-Circular Mobile Robots with 2D, 2.5D, or 3D Obstacle Models Boris Lau, Christoph Sprunk, and Wolfram Burgard In Proc. of the European Conference on Mobile Robots (ECMR), Örebro, Sweden. 2011 lau11ecmr.pdf
	A Probabilistic Framework for Learning Kinematic Models of Articulated Objects J. Sturm and C. Stachniss and W. Burgard Journal of Artificial Intelligence Research 2011 sturm11jair.pdf
	Hierarchies of Octrees for Efficient 3D Mapping K.M. Wurm and D. Hennes and D. Holz and R.B. Rusu and C. Stachniss and K. Konolige and W. Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems 2011 wurm11iros.pdf
	Efficient Motion Planning for Manipulation Robots in Environments with Deformable Objects B. Frank and C. Stachniss and N. Abdo and W. Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems 2011 frank11iros.pdf
	Gradient-based Boosting for Statistical Relational Learning: The Relational Dependency Network Case S. Natarajan, T. Khot, K. Kersting, B. Gutmann, and J. Shavlik Machine Learning Journal, vol. 86, no. 1, pp. 26–56 2012 natarajan12mlj.pdf
	Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter B. Ahmadi, K. Kersting, and S. Sanner In T. Walsh, editor, Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain 2011 ahmadi11ijcai.pdf
	Imitation Learning in Relational Worlds: A Functional Gradient Boosting Approach S. Natarajan, S. Joshi, P. Tadepelli, K. Kersting, and J. Shavlik In T. Walsh, editor, Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain 2011 natarajan11ijcai.pdf
	Markov Logic Sets: Towards Lifted Information Retrieval using PageRank and Label Propagation M. Neumann, K. Kersting, and B. Ahmadi In W. Burgard and D. Roth, editors, Proceedings of the Twenty–Fifth AAAI Conference on Artificial Intelligence (AAAI–11), San Francisco, CA, USA 2011 neumann11aaai.pdf
	Learning the parameters of probabilistic logic programs from interpretations Bernd Gutmann, Ingo Thon, and Luc De Raedt Technical Report CW 584, Department of Computer Science, Katholieke Universiteit Leuven, Belgium 2010 gutmann10tr.pdf
	Temporal gesture recognition for human-robot interaction M. Sigalas, H. Baltzakis and P. Trahanias In Proceedings of Mutimodal Human-Robot Interfaces Workshop held within IEEE International Conference on Robotics and Automation (ICRA), Anchorage, Alaska, USA 2010 sigalas10icraws.pdf
	An integrated approach for visual tracking of hands, faces and facial features M. Pateraki, H. Baltzakis, and P. Trahanias In Proceedings of the Workshop on Measuring and Understanding Human Movements and Emotions, held within the IEEE International Conference on Robotics and Automation (ICRA), Shangai, China 2011 pateraki11icraws.pdf
	Gesture recognition based on arm tracking for human-robot interaction M. Sigalas, H. Baltzakis and P. Trahanias In Proceedings of the IEEE/RSJ Intlernational Conference on Intelligent Robotics and Systems (IROS), Taipei, Taiwan 2010 sigalas10iros.pdf
	Extending ProbLog with Continuous Distributions Bernd Gutmann, Manfred Jaeger, and Luc De Raedt In Paolo Frasconi and Francesca Alessandra Lisi, editors, Proceedings of the 20th International Conference on Inductive Logic Programming (ILP), Firenze, Italy 2010 gutmann10ilp.pdf
	Image driven generation of pose hypotheses for 3d model-based tracking M. Brandão, A. Bernardino, and J. Santos-Victor In Proceedings of the 12th IAPR Conference on Machine Vision and Applications, to appear 2011 brandao11mva.pdf
	Coupled dynamical system based hand-arm grasp planning under real-time perturbations A. Shukla and A. Billard In Proceedings of Robotics: Science and Systems (RSS), Los Angeles, CA, USA 2011 shukla11RSS.pdf
	The Magic of Logical Inference in Probabilistic Programming Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, and Luc De Raedt Accepted for Publication in Theory and Practice of Logic Programming 2011 gutmann11tplp.pdf
	Using Artificial Landmarks to Reduce the Ambiguity in the Environment of a Mobile Robot Daniel Meyer-Delius, Max Beinhofer, Alexander Kleiner, and Wolfram Burgard In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China 2011 meyerdelius11icra.pdf
	Online Generation of Kinodynamic Trajectories for Non-Circular Omnidirectional Robots Christoph Sprunk, Boris Lau, Patrick Pfaff, and Wolfram Burgard In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China 2011 sprunk11icra.pdf
	Donut as I do: Learning from Failed Demonstrations Daniel H Grollman and Aude Billard In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China 2011 Best Cognitive Robotics Paper Award grollman11icra.pdf
	Inference based Trajectory Optimization for Imitation based Grasping A. Jain, R. Martinez-Cantin, A. Bernardino, and J. Santos-Victor In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Workshop on Grasp Planning and Task Learning by Imitation 2010 ashish10iros.pdf
	Multi-Agent Inverse Reinforcement Learning S. Natarajan, G. Kunapuli, K. Judah, P. Tadepalli, K. Kersting, and J. Shavlik In S. Draghici, T. Khoshgoftaar, V. Palade, W. Pedrycz, X. Zhu, editors, Proceedings of the 9th IEEE International Conference on Machine Learning and Applications (ICMLA-10), Washington DC, USA 2010 natarajan10icmla.pdf
	Gaussian Mixture Models for Affordance Learning using Bayesian Networks P. Osório, A. Bernardino, R. Martinez-Cantin, and J. Santos-Victor In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Taipei, Taiwan 2010 osorio10iros.pdf
	Lifted Belief Propagation: Pairwise Marginals and Beyond B. Ahmadi, K. Kersting, and F. Hadiji In P. Myllymaeki, T. Roos, and T. Jaakkola, editor(s), Proceedings of the 5th European Workshop on Probabilistic Graphical Models (PGM-10), Helsinki, Finland 2010 ahmadi10pgm.pdf
	Operating Articulated Objects Based on Experience J. Sturm, A. Jain, C. Stachniss, C. Kemp, and W. Burgard In Proc. of the IEEE International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan 2010 sturm10iros.pdf
	Vision-based Detection for Learning Articulation Models of Cabinet Doors and Drawers in Household Environments Juergen Sturm, Kurt Konolige, Cyrill Stachniss, and Wolfram Burgard In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Anchorage, Alaska 2010 sturm10icra.pdf
	Hierarchical Optimization on Manifolds for Online 2D and 3D Mapping Giorgio Grisetti, Rainer Kümmerle, Cyrill Stachniss, Udo Frese, and Christoph Hertzberg In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Anchorage, Alaska 2010 grisetti10icra.pdf
	Improved Updating of Euclidean Distance Maps and Voronoi Diagrams Boris Lau, Christoph Sprunk, and Wolfram Burgard In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan 2010 lau10iros.pdf
	OctoMap: A Probabilistic, Flexible, and Compact 3D Map Representation for Robotic Systems K.M. Wurm, A. Hornung, M. Bennewitz, C. Stachniss, and W. Burgard In Proc. of the ICRA 2010 Workshop on Best Practice in 3D Perception and Modeling for Mobile Manipulation, Anchorage, USA 2010 wurm10octomap.pdf
	Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models S. Natarajan, T. Khot, D. Lowd, P. Tadepalli, and K. Kersting J. Balcazar, F. Bonchi, A. Gionis, and M. Sebag, editors, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-10) 2010 natarajan10ecml.pdf
	Exploration in Relational Worlds T. Lang, M. Toussaint, and K. Kersting J. Balcazar, F. Bonchi, A. Gionis, M. Sebag, editors, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-10), Barcelona, Spain, Springer 2010 lang10ecml.pdf
	Learning to Hash Logistic Regression for Fast 3D Scan Point Classification J. Behley, K. Kersting, D. Schulz, V. Steinhage, and A.B. Cremers. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010) 2010 behley10iros.pdf
	Lifted Message Passing for Satisfiability F. Hadiji, K. Kersting, and B. Ahmadi Working Notes of the AAAI10 Workshop on Statistical Relational AI (StarAI) 2010 hadiji10starai.pdf
	Boosting Relational Dependency Networks S. Natarajan, T. Khot, K. Kersting, B. Gutmann, and J. Shavlik Proceedings of the 20th International Conference on Inductive Logic Programming (ILP-10), accepted 2010 natarajan10ilp.pdf

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