The ProbCog project designs and implements a statistical relational learning and reasoning system that supports efficient learning and inference in relational domains.
One of the project's achievements was the development of an open-source toolbox for statistical relational learning and reasoning, which was specifically tailored towards the needs of technical systems.
This project was partly funded by CoTeSys.
Knowledge Representation for Cognitive Robots , In Künstliche Intelligenz, Springer, volume 24, 2010. [bib] [pdf] |
Towards Performing Everyday Manipulation Activities , In Robotics and Autonomous Systems, Elsevier, volume 58, 2010. [bib] [pdf] |
Towards Automated Models of Activities of Daily Life , In Technology and Disability, IOS Press, volume 22, 2010. [bib] [pdf] |
Learning Probability Distributions over Partially-Ordered Human Everyday Activities , In IEEE International Conference on Robotics and Automation (ICRA), 2013.(Accepted for publication.) [bib] |
Learning Organizational Principles in Human Environments , In IEEE International Conference on Robotics and Automation (ICRA), 2012. [bib] [pdf] |
Compiling AI Engineering Models for Probabilistic Inference , In KI 2011: Advances in Artificial Intelligence, 34th Annual German Conference on AI, Springer, volume 7006, 2011. [bib] [pdf] |
Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constraint Learning , In KI 2011: Advances in Artificial Intelligence, 34th Annual German Conference on AI, Springer, volume 7006, 2011. [bib] [pdf] |
KNOWROB-MAP -- Knowledge-Linked Semantic Object Maps , In 10th IEEE-RAS International Conference on Humanoid Robots, 2010. [bib] [pdf] |
Plan Assessment for Autonomous Manufacturing as Bayesian Inference , In KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI, Springer, volume 6359, 2010. [bib] |
Soft Evidential Update via Markov Chain Monte Carlo Inference , In KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI, Springer, volume 6359, 2010. [bib] [pdf] |
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters , In 19th European Conference on Artificial Intelligence (ECAI), 2010. [bib] [pdf] |
Combining Perception and Knowledge Processing for Everyday Manipulation , In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010. [bib] [pdf] |
Perception and Probabilistic Anchoring for Dynamic World State Logging , In 10th IEEE-RAS International Conference on Humanoid Robots, 2010. [bib] [pdf] |
Equipping Robot Control Programs with First-Order Probabilistic Reasoning Capabilities , In IEEE International Conference on Robotics and Automation (ICRA), 2009. [bib] [pdf] |
Towards Automated Models of Activities of Daily Life , In First International Symposium on Quality of Life Technology -- Intelligent Systems for Better Living, 2009. [bib] [pdf] |
Probabilistic Categorization of Kitchen Objects in Table Settings with a Composite Sensor , In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2009. [bib] [pdf] |
The Assistive Kitchen -- A Demonstration Scenario for Cognitive Technical Systems , In IEEE 17th International Symposium on Robot and Human Interactive Communication (RO-MAN), Muenchen, Germany, 2008.(Invited paper.) [bib] [pdf] |
Extending Markov Logic to Model Probability Distributions in Relational Domains , In KI 2007: Advances in Artificial Intelligence, 30th Annual German Conference on AI, Springer, volume 4667, 2007. [bib] [pdf] |
Modeling Cognitive Frames for Situations with Markov Logic Networks , In Proceedings of the 8th International NLPCS Workshop: Human-Machine Interaction in Translation, Copenhagen Studies in Language 41, Samfundslitteratur, 2011. [bib] |
Diagnostic Hypothesis Enumeration vs. Probabilistic Inference for Hierarchical Automata Models , In Proceedings of the 22nd International Workshop on Principles of Diagnosis (DX-2011), 2011. [bib] |
Knowledge Engineering with Markov Logic Networks: A Review , In DKB 2011: Proceedings of the Third Workshop on Dynamics of Knowledge and Belief, 2011. [bib] [pdf] |
Markov Logic as a Modelling Language for Weighted Constraint Satisfaction Problems , In Eighth International Workshop on Constraint Modelling and Reformulation, in conjunction with CP2009, 2009. [bib] [pdf] |
Equipping Robot Control Programs with First-Order Probabilistic Reasoning Capabilities , In Proceedings of the 1st International Workshop on Cognition for Technical Systems, 2008. [bib] |
Probabilistic Cognition for Technical Systems: Statistical Relational Models for High-Level Knowledge Representation, Learning and Reasoning , PhD thesis, Technische Universität München, 2012. [bib] |
Deliverable D5.2: The RoboEarth Language -- Language Specification , Technical report, FP7-ICT-248942 RoboEarth, 2010. [bib] |
Bayesian Logic Networks , Technical report, IAS Group, Fakultät für Informatik, Technische Universität München, 2009. [bib] [pdf] |