Extending Markov Logic to Model Probability Distributions in Relational Domains. - Dominik Jain; Bernhard Kirchlechner; Michael Beetz (KI, 2007)

The Assistive Kitchen - A demonstration scenario for cognitive technical systems. - 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; et al. (RO-MAN, 2008)

Equipping robot control programs with first-order probabilistic reasoning capabilities. - Dominik Jain; Lorenz Mösenlechner; Michael Beetz (ICRA, 2009)

Probabilistic categorization of kitchen objects in table settings with a composite sensor. - Zoltan Csaba Marton; Radu Bogdan Rusu; Dominik Jain; Ulrich Klank; Michael Beetz (IROS, 2009)

Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters. - Dominik Jain; Andreas Barthels; Michael Beetz (ECAI, 2010)

Perception and probabilistic anchoring for dynamic world state logging. - Nico Blodow; Dominik Jain; Zoltan-Csaba Marton; Michael Beetz (Humanoids, 2010)

KNOWROB-MAP - knowledge-linked semantic object maps. - Moritz Tenorth; Lars Kunze; Dominik Jain; Michael Beetz (Humanoids, 2010)

Combining perception and knowledge processing for everyday manipulation. - Dejan Pangercic; Moritz Tenorth; Dominik Jain; Michael Beetz (IROS, 2010)

Soft Evidential Update via Markov Chain Monte Carlo Inference. - Dominik Jain; Michael Beetz (KI, 2010)

Plan Assessment for Autonomous Manufacturing as Bayesian Inference. - Paul Maier; Dominik Jain; Stefan Waldherr; Martin Sachenbacher (KI, 2010)

Knowledge Processing for Cognitive Robots. - Moritz Tenorth; Dominik Jain; Michael Beetz (Künstliche Intell., 2010)

Towards performing everyday manipulation activities. - Michael Beetz; Dominik Jain; Lorenz Mösenlechner; Moritz Tenorth (Robotics Auton. Syst., 2010)

Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constraint Learning. - Dominik Jain; Klaus von Gleissenthall; Michael Beetz (KI, 2011)

Compiling AI Engineering Models for Probabilistic Inference. - Paul Maier; Dominik Jain; Martin Sachenbacher (KI, 2011)

Learning organizational principles in human environments. - Martin J. Schuster; Dominik Jain; Moritz Tenorth; Michael Beetz (ICRA, 2012)

Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence. - Michael Beetz; Dominik Jain; Lorenz Mösenlechner; Moritz Tenorth; Lars Kunze; Nico Blodow; Dejan Pangercic (Proc. IEEE, 2012)

Probabilistic Cognition for Technical Systems: Statistical Relational Models for High-Level Knowledge Representation, Learning and Reasoning. - Dominik Jain (2012)

Crowdsourced HD Map Patches Based on Road Model Inference and Graph-Based SLAM. - Martin Liebner; Dominik Jain; Julian Schauseil; David Pannen; Andreas Hackelöer (IV, 2019)