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Dominik Jain
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2010 – 2019
- 2019
- [c14]Martin Liebner, Dominik Jain, Julian Schauseil, David Pannen, Andreas Hackelöer:
Crowdsourced HD Map Patches Based on Road Model Inference and Graph-Based SLAM. IV 2019: 1211-1218 - 2012
- [b1]Dominik Jain:
Probabilistic Cognition for Technical Systems: Statistical Relational Models for High-Level Knowledge Representation, Learning and Reasoning. Technical University Munich, 2012, pp. 1-262 - [j3]Michael Beetz, Dominik Jain, Lorenz Mösenlechner, Moritz Tenorth, Lars Kunze, Nico Blodow, Dejan Pangercic:
Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence. Proc. IEEE 100(8): 2454-2471 (2012) - [c13]Martin J. Schuster, Dominik Jain, Moritz Tenorth, Michael Beetz:
Learning organizational principles in human environments. ICRA 2012: 3867-3874 - 2011
- [c12]Dominik Jain, Klaus von Gleissenthall, Michael Beetz:
Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constraint Learning. KI 2011: 144-156 - [c11]Paul Maier, Dominik Jain, Martin Sachenbacher:
Compiling AI Engineering Models for Probabilistic Inference. KI 2011: 191-203 - 2010
- [j2]Moritz Tenorth, Dominik Jain, Michael Beetz:
Knowledge Processing for Cognitive Robots. Künstliche Intell. 24(3): 233-240 (2010) - [j1]Michael Beetz, Dominik Jain, Lorenz Mösenlechner, Moritz Tenorth:
Towards performing everyday manipulation activities. Robotics Auton. Syst. 58(9): 1085-1095 (2010) - [c10]Dominik Jain, Andreas Barthels, Michael Beetz:
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters. ECAI 2010: 937-942 - [c9]Nico Blodow, Dominik Jain, Zoltan-Csaba Marton, Michael Beetz:
Perception and probabilistic anchoring for dynamic world state logging. Humanoids 2010: 160-166 - [c8]Moritz Tenorth, Lars Kunze, Dominik Jain, Michael Beetz:
KNOWROB-MAP - knowledge-linked semantic object maps. Humanoids 2010: 430-435 - [c7]Dejan Pangercic, Moritz Tenorth, Dominik Jain, Michael Beetz:
Combining perception and knowledge processing for everyday manipulation. IROS 2010: 1065-1071 - [c6]Paul Maier, Dominik Jain, Stefan Waldherr, Martin Sachenbacher:
Plan Assessment for Autonomous Manufacturing as Bayesian Inference. KI 2010: 263-271 - [c5]Dominik Jain, Michael Beetz:
Soft Evidential Update via Markov Chain Monte Carlo Inference. KI 2010: 280-290
2000 – 2009
- 2009
- [c4]Dominik Jain, Lorenz Mösenlechner, Michael Beetz:
Equipping robot control programs with first-order probabilistic reasoning capabilities. ICRA 2009: 3626-3631 - [c3]Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jain, Ulrich Klank, Michael Beetz:
Probabilistic categorization of kitchen objects in table settings with a composite sensor. IROS 2009: 4777-4784 - 2008
- [c2]Michael Beetz, Freek Stulp, Bernd Radig, Jan Bandouch, Nico Blodow, Mihai Emanuel Dolha, Andreas Fedrizzi, Dominik Jain, Ulrich Klank, Ingo Kresse, Alexis Maldonado, Zoltan-Csaba Marton, Lorenz Mösenlechner, Federico Ruiz-Ugalde, Radu Bogdan Rusu, Moritz Tenorth:
The Assistive Kitchen - A demonstration scenario for cognitive technical systems. RO-MAN 2008: 1-8 - 2007
- [c1]Dominik Jain, Bernhard Kirchlechner, Michael Beetz:
Extending Markov Logic to Model Probability Distributions in Relational Domains. KI 2007: 129-143
Coauthor Index
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