ProbCog: Probabilistic Cognition for Technical Systems
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.
Acknowledgements
This project was partly funded by CoTeSys.
Publications
Journal Articles and Book Chapters
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] |
Conference Papers
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] |
Workshop Papers
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] |
Other Publications
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] |
Last edited 26.07.2011 18:22 by jain