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% Publications of Jain % Encoding: utf-8 @inProceedings{jain07extending, author = {Dominik Jain and Bernhard Kirchlechner and Michael Beetz}, title = {{Extending Markov Logic to Model Probability Distributions in Relational Domains}}, booktitle = {KI 2007: Advances in Artificial Intelligence, 30th Annual German Conference on AI}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = {4667}, year = {2007}, pages = {129--143}, isbn = {978-3-540-74564-8}, ee = {http://dx.doi.org/10.1007/978-3-540-74565-5_12}, bib2html_pubtype = {Refereed Conference Paper}, bib2html_rescat = {unspecified}, bib2html_groups = {IAS, ProbCog}} @InProceedings{beetz08assistive, author = {Michael Beetz and Freek Stulp and Bernd Radig and Jan Bandouch and Nico Blodow and Mihai Dolha and Andreas Fedrizzi and Dominik Jain and Uli Klank and Ingo Kresse and Alexis Maldonado and Zoltan Marton and Lorenz M{\"o}senlechner and Federico Ruiz and Radu Bogdan Rusu and Moritz Tenorth}, title = {{The Assistive Kitchen -- A Demonstration Scenario for Cognitive Technical Systems}}, booktitle = {IEEE 17th International Symposium on Robot and Human Interactive Communication (RO-MAN), Muenchen, Germany}, pages = {1-8}, year = {2008}, bib2html_pubtype = {Conference Paper}, bib2html_rescat = {Perception, Planning, Learning}, bib2html_groups = {Memoman, Cogito, EnvMod, Cogman, K4C, ProbCog}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household}, note = {Invited paper.}, } @InProceedings{jain08cotesys, author = {Dominik Jain and Lorenz M\"osenlechner and Michael Beetz}, title = {{Equipping Robot Control Programs with First-Order Probabilistic Reasoning Capabilities}}, booktitle = {Proceedings of the 1st International Workshop on Cognition for Technical Systems}, month = {6-8 October}, address = {M{\"u}nchen, Germany}, year = {2008}, bib2html_pubtype = {Workshop Paper}, bib2html_rescat = {Representation}, bib2html_groups = {ProbCog}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household}, } @InProceedings{Composite09IROS, author = {Zoltan Csaba Marton and Radu Bogdan Rusu and Dominik Jain and Ulrich Klank and Michael Beetz}, title = {{Probabilistic Categorization of Kitchen Objects in Table Settings with a Composite Sensor}}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, pages = {4777-4784}, month = {October 11-15}, year = {2009}, address = {St. Louis, MO, USA}, bib2html_pubtype = {Conference Paper}, bib2html_rescat = {Perception, Models}, bib2html_groups = {EnvMod, ProbCog}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household}, } @InProceedings{jain09icra, author = {Dominik Jain and Lorenz M{\"o}senlechner and Michael Beetz}, title = {{Equipping Robot Control Programs with First-Order Probabilistic Reasoning Capabilities}}, booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}, pages = {3626-3631}, year = {2009}, bib2html_pubtype = {Conference Paper}, bib2html_rescat = {Models}, bib2html_groups = {ProbCog}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household}, } @techreport{jain09blns, title = {{Bayesian Logic Networks}}, author = {Dominik Jain and Stefan Waldherr and Michael Beetz}, institution = {{IAS} Group, Fakult\"at f\"ur Informatik, Technische Universit\"at M\"unchen}, bib2html_pubtype = {Other}, bib2html_groups = {ProbCog}, bib2html_funding = {CoTeSys}, bib2html_rescat = {Planning}, bib2html_domain = {Assistive Household}, year = {2009} } @InProceedings{beetz09qlts, author = {Michael Beetz and Jan Bandouch and Dominik Jain and Moritz Tenorth}, title = {{Towards Automated Models of Activities of Daily Life}}, booktitle = {First International Symposium on Quality of Life Technology -- Intelligent Systems for Better Living}, year = {2009}, address = {Pittsburgh, Pennsylvania USA}, bib2html_pubtype ={Conference Paper}, bib2html_rescat = {Learning,Models,Planning,Perception,Knowledge,Reasoning,Representation}, bib2html_groups = {Memoman,K4C,ProbCog}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household}, abstract = {We propose automated probabilistic models of everyday activities (AM-EvA) as a novel technical means for the perception, interpretation, and analysis of everyday manipulation tasks and activities of daily life. AM-EvAs are based on action-related concepts in everyday activities such as action-related places (the place where cups are taken from the cupboard), capabilities (the objects that can be picked up single-handedly), etc. These concepts are probabilistically derived from a set of previous activities that are fully and automatically observed by computer vision and additional sensor systems. AM-EvA models enable robots and technical systems to analyze activities in the complete situation and activity context. They render the classification and the assessment of actions and situations objective and can justify the probabilistic interpretation with respect to the activities the concepts have been learned from. In this paper, we describe the current state of implementation of the system that realizes this idea of automated models of everyday activities and show example results from the observation and analysis of table setting episodes.} } @InProceedings{jain09modref, author = {Dominik Jain and Paul Maier and Gregor Wylezich}, title = {{Markov Logic as a Modelling Language for Weighted Constraint Satisfaction Problems}}, booktitle = {Eighth International Workshop on Constraint Modelling and Reformulation, in conjunction with CP2009}, year = {2009}, bib2html_pubtype = {Conference Paper}, bib2html_rescat = {Markov Logic, WCSP}, bib2html_groups = {ProbCog}, bib2html_funding = {CoTeSys}, bib2html_domain = {}, abstract = {Many real-world problems, for example resource allocation, can be formalized as soft constraint optimization problems. A fundamental issue is the compact and precise declaration of such problems. We propose Markov logic networks (MLNs), a representation formalism well-known from statistical relational learning, as a simple yet highly expressive modelling framework, for MLNs enable the representation of general principles that abstract away from concrete entities in order to achieve a separation between the model and the data to which it is applied. MLNs provide the full power of first-order logic and combine it with probabilistic semantics, thus allowing a flexible representation of soft constraints. We introduce an automatic conversion of maximum a posteriori (MAP) inference problems in MLNs to weighted constraint satisfaction problems to leverage a large body of available solving methods, and we make our software suite available to the public. We demonstrate the soundness of our approach on a real-world room allocation problem, providing experimental results.} } @article{beetz10ameva, title={{Towards Automated Models of Activities of Daily Life}}, author={Michael Beetz and Moritz Tenorth and Dominik Jain and Jan Bandouch}, journal={Technology and Disability}, volume={22}, number= {1-2}, pages={27--40}, year={2010}, publisher={IOS Press}, bib2html_pubtype = {Journal}, bib2html_groups = {K4C, Memoman, ProbCog}, bib2html_funding = {CoTeSys, MeMoMan}, bib2html_rescat = {Perception, Models, Representation, Learning, Reasoning}, bib2html_domain = {Assistive Household} } @article{beetz10towards, title={{Towards Performing Everyday Manipulation Activities}}, author={Michael Beetz and Dominik Jain and Lorenz M{\"o}senlechner and Moritz Tenorth}, journal={Robotics and Autonomous Systems}, year={2010}, volume={58}, number= {9}, pages={1085--1095}, publisher={Elsevier}, bib2html_pubtype = {Journal}, bib2html_groups = {K4C, Cogito, ProbCog}, bib2html_funding = {CoTeSys}, bib2html_rescat = {Models, Representation, Learning, Reasoning, Planning}, bib2html_domain = {Assistive Household} } @article{tenorth10kr, title={{Knowledge Representation for Cognitive Robots}}, author={Moritz Tenorth and Dominik Jain and Michael Beetz}, journal = {K{\"u}nstliche Intelligenz}, publisher = {Springer}, year = {2010}, volume = {24}, number = {3}, pages = {233--240}, bib2html_pubtype = {Journal}, bib2html_groups = {K4C, ProbCog}, bib2html_funding = {CoTeSys}, bib2html_rescat = {Representation, Learning, Reasoning}, bib2html_domain = {Assistive Household} } @InProceedings{jain10adaptive, author = {Dominik Jain and Andreas Barthels and Michael Beetz}, title = {{Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters}}, pages = {937-942}, booktitle = {19th European Conference on Artificial Intelligence (ECAI)}, year = {2010}, bib2html_groups = {ProbCog} } @InProceedings{jain10soft, author = {Dominik Jain and Michael Beetz}, title = {{Soft Evidential Update via Markov Chain Monte Carlo Inference}}, booktitle = {KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI}, pages = {280-290}, location = {Karlsruhe, Germany}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = {6359}, isbn = {978-3-642-16110-0}, year = {2010}, bib2html_groups = {ProbCog} } @InProceedings{maier10planassessment, author = {Paul Maier and Dominik Jain and Stefan Waldherr and Martin Sachenbacher}, title = {{Plan Assessment for Autonomous Manufacturing as Bayesian Inference}}, booktitle = {KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI}, pages = {263-271}, location = {Karlsruhe, Germany}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = {6359}, isbn = {978-3-642-16110-0}, year = {2010}, bib2html_groups = {ProbCog} } @InProceedings{iros10kcopman, author = {Dejan Pangercic and Moritz Tenorth and Dominik Jain and Michael Beetz}, title = {{Combining Perception and Knowledge Processing for Everyday Manipulation}}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, pages = {1065-1071}, year = {2010}, month = {October 18-22}, address = {Taipei, Taiwan}, bib2html_groups = {K4C,ProbCog,Cop}, bib2html_pubtype = {Conference Paper}, bib2html_rescat = {Perception, Models}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household} } @InProceedings{Blodow10Humanoids, author = {Nico Blodow and Dominik Jain and Zoltan-Csaba Marton and Michael Beetz}, title = {{Perception and Probabilistic Anchoring for Dynamic World State Logging}}, booktitle = {10th IEEE-RAS International Conference on Humanoid Robots}, pages = {160-166}, month = {December 6-8}, year = {2010}, address = {Nashville, TN, USA}, bib2html_pubtype = {Conference Paper}, bib2html_rescat = {Perception, Models}, bib2html_groups = {Cop, EnvMod, ProbCog}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household} } @InProceedings{tenorth10envmodel, author = {Moritz Tenorth and Lars Kunze and Dominik Jain and Michael Beetz}, title = {{KNOWROB-MAP -- Knowledge-Linked Semantic Object Maps}}, booktitle = {10th IEEE-RAS International Conference on Humanoid Robots}, pages = {430-435}, month = {December 6-8}, year = {2010}, address = {Nashville, TN, USA}, bib2html_pubtype = {Conference Paper}, bib2html_rescat = {Perception, Models}, bib2html_groups = {K4C, EnvMod, ProbCog}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household} } @InProceedings{jain11blns, author = {Dominik Jain and Klaus von Gleissenthall and Michael Beetz}, title = {{Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constraint Learning}}, pages = {144-156}, booktitle = {KI 2011: Advances in Artificial Intelligence, 34th Annual German Conference on AI}, location = {Berlin, Germany}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = {7006}, isbn = {978-3-642-24454-4}, month = {October 4-7}, year = {2011}, bib2html_groups = {ProbCog}, } @InProceedings{maier11phca, author = {Paul Maier and Dominik Jain and Martin Sachenbacher}, title = {{Compiling AI Engineering Models for Probabilistic Inference}}, pages = {191-203}, booktitle = {KI 2011: Advances in Artificial Intelligence, 34th Annual German Conference on AI}, location = {Berlin, Germany}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = {7006}, isbn = {978-3-642-24454-4}, month = {October 4-7}, year = {2011}, bib2html_groups = {ProbCog}, } @InProceedings{jain11kr, author = {Dominik Jain}, title = {{Knowledge Engineering with Markov Logic Networks: A Review}}, booktitle = {DKB 2011: Proceedings of the Third Workshop on Dynamics of Knowledge and Belief}, year = {2011}, bib2html_groups = {ProbCog}, } @misc{shopping_demo11aaai, author = {Dejan Pangercic and Koppany Mathe and Zoltan-Csaba Marton and Lucian Cosmin Goron and Monica-Simona Opris and Martin Schuster and Moritz Tenorth and Dominik Jain and Thomas Ruehr and Michael Beetz}, title = {A Robot that Shops for and Stores Groceries}, howpublished = {AAAI Video Competition (AIVC 2011)}, address = {San Francisco, CA, USA}, year = {2011}, month = {August 7--11}, url = {http://youtu.be/x0Ybod_6ADA}, bib2html_pubtype = {Video}, bib2html_groups = {EnvMod, CoP, K4C}, bib2html_funding = {CoTeSys}, bib2html_domain = {Assistive Household}, bib2html_rescat = {Action, Perception, Reasoning, Models, Representation}, } @inproceedings{murray11frames, author = {William R. Murray and Dominik Jain}, title = {{Modeling Cognitive Frames for Situations with Markov Logic Networks}}, booktitle = {Proceedings of the 8th International NLPCS Workshop: Human-Machine Interaction in Translation, Copenhagen Studies in Language 41}, pages = {167--178}, publisher = {Samfundslitteratur}, month = {August 11}, year = {2011}, bib2html_groups = {ProbCog} } @inproceedings{maier11dx, author = "Maier, Paul and Jain, Dominik and Sachenbacher, Martin", title = "Diagnostic Hypothesis Enumeration vs. Probabilistic Inference for Hierarchical Automata Models", booktitle = "Proceedings of the 22nd International Workshop on Principles of Diagnosis (DX-2011)", address = "Murnau, Germany", year = 2011, bib2html_groups = {ProbCog} } @Article{Bee12IEEE, author = {Michael Beetz and Dominik Jain and Lorenz M\"osenlechner and Moritz Tenorth and Lars Kunze and Nico Blodow and Dejan Pangercic}, title = {Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence}, journal = {Proceedings of the IEEE, Special Issue on Quality of Life Technology}, year = {2012}, volume = {100}, number = {8}, pages = {2454--2471}, } @inproceedings{schuster12orgprinciples, author = {Martin Schuster and Dominik Jain and Moritz Tenorth and Michael Beetz}, title = {{Learning Organizational Principles in Human Environments}}, booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}, year = {2012}, pages = {3867-3874}, month = {May 14--18}, address = {St. Paul, MN, USA}, bib2html_groups = {ProbCog, K4C} } @phdthesis{jain2012phd, author = {Dominik Jain}, title = {Probabilistic Cognition for Technical Systems: Statistical Relational Models for High-Level Knowledge Representation, Learning and Reasoning}, year = {2012}, school = {Technische Universit\"at M\"unchen}, bib2html_pubtype = {PhD Thesis}, bib2html_rescat = {Representation, Learning, Reasoning, Models}, bib2html_groups = {ProbCog}, bib2html_funding = {CoTeSys}, url = {http://mediatum.ub.tum.de/node?id=1096684&change_language=en}, pdf = {http://mediatum.ub.tum.de/doc/1096684/1096684.pdf} }