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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