Dominik Jain

According to our database, Dominik Jain authored at least 18 papers between 2007 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Crowdsourced HD Map Patches Based on Road Model Inference and Graph-Based SLAM.

Martin Liebner, Dominik Jain, Julian Schauseil, David Pannen, Andreas Hackelöer

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2012

Probabilistic Cognition for Technical Systems: Statistical Relational Models for High-Level Knowledge Representation, Learning and Reasoning.

Dominik Jain

PhD thesis, 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

Learning organizational principles in human environments.

Martin J. Schuster, Dominik Jain, Moritz Tenorth, Michael Beetz

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Compiling AI Engineering Models for Probabilistic Inference.

Paul Maier, Dominik Jain, Martin Sachenbacher

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constraint Learning.

Dominik Jain, Klaus von Gleissenthall, Michael Beetz

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

2010

Towards performing everyday manipulation activities.

Michael Beetz, Dominik Jain, Lorenz Mösenlechner, Moritz Tenorth

Robotics Auton. Syst., 2010

Knowledge Processing for Cognitive Robots.

Moritz Tenorth, Dominik Jain, Michael Beetz

Künstliche Intell., 2010

Plan Assessment for Autonomous Manufacturing as Bayesian Inference.

Paul Maier, Dominik Jain, Stefan Waldherr, Martin Sachenbacher

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

Soft Evidential Update via Markov Chain Monte Carlo Inference.

Dominik Jain, Michael Beetz

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

Combining perception and knowledge processing for everyday manipulation.

Dejan Pangercic, Moritz Tenorth, Dominik Jain, Michael Beetz

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

KNOWROB-MAP - knowledge-linked semantic object maps.

Moritz Tenorth, Lars Kunze, Dominik Jain, Michael Beetz

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

Perception and probabilistic anchoring for dynamic world state logging.

Nico Blodow, Dominik Jain, Zoltan-Csaba Marton, Michael Beetz

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters.

Dominik Jain, Andreas Barthels, Michael Beetz

Proceedings of the ECAI 2010, 2010

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

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Equipping robot control programs with first-order probabilistic reasoning capabilities.

Dominik Jain, Lorenz Mösenlechner, Michael Beetz

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

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, Lorenz Mösenlechner, Federico Ruiz-Ugalde, Radu Bogdan Rusu, Moritz Tenorth

Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, 2008

2007

Extending Markov Logic to Model Probability Distributions in Relational Domains.

Dominik Jain, Bernhard Kirchlechner, Michael Beetz

Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007