 | 2011 |
| 13 |  | 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 |
| 12 |  | Paul Maier,
Dominik Jain,
Martin Sachenbacher:
Compiling AI Engineering Models for Probabilistic Inference.
KI 2011: 191-203 |
| 2010 |
| 11 |  | Dominik Jain,
Andreas Barthels,
Michael Beetz:
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters.
ECAI 2010: 937-942 |
| 10 |  | Nico Blodow,
Dominik Jain,
Zoltan-Csaba Marton,
Michael Beetz:
Perception and probabilistic anchoring for dynamic world state logging.
Humanoids 2010: 160-166 |
| 9 |  | Moritz Tenorth,
Lars Kunze,
Dominik Jain,
Michael Beetz:
KNOWROB-MAP - knowledge-linked semantic object maps.
Humanoids 2010: 430-435 |
| 8 |  | Dejan Pangercic,
Moritz Tenorth,
Dominik Jain,
Michael Beetz:
Combining perception and knowledge processing for everyday manipulation.
IROS 2010: 1065-1071 |
| 7 |  | Paul Maier,
Dominik Jain,
Stefan Waldherr,
Martin Sachenbacher:
Plan Assessment for Autonomous Manufacturing as Bayesian Inference.
KI 2010: 263-271 |
| 6 |  | Dominik Jain,
Michael Beetz:
Soft Evidential Update via Markov Chain Monte Carlo Inference.
KI 2010: 280-290 |
| 5 |  | Moritz Tenorth,
Dominik Jain,
Michael Beetz:
Knowledge Processing for Cognitive Robots.
KI 24(3): 233-240 (2010) |
| 4 |  | Michael Beetz,
Dominik Jain,
Lorenz Mösenlechner,
Moritz Tenorth:
Towards performing everyday manipulation activities.
Robotics and Autonomous Systems 58(9): 1085-1095 (2010) |
| 2009 |
| 3 |  | Dominik Jain,
Lorenz Mösenlechner,
Michael Beetz:
Equipping robot control programs with first-order probabilistic reasoning capabilities.
ICRA 2009: 3626-3631 |
| 2 |  | 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 |
| 2007 |
| 1 |  | Dominik Jain,
Bernhard Kirchlechner,
Michael Beetz:
Extending Markov Logic to Model Probability Distributions in Relational Domains.
KI 2007: 129-143 |