Prof. Michael Beetz

Weitere Informationen:

Sprecher CRC 1320 EASE

Auszeichnungen und Mitgliedschaften:

Seit Februar 2019: Ehrendoktor der University of Örebro
Seit 2019: Associate Fellow des Zentrum für interdisziplinäre Forschung (ZiF) der Universität Bielefeld

Ökosystem

Sprecher des Wissenschaftsschwerpunkts „Minds Media Machines" (mit Tanja Schultz)

Koordinator des deutschen Sonderforschungsbereichs „Everyday Activity Science and Engineering" (EASE)

Leiter des "Instituts für Künstliche Intelligenz" (IAI)

Mitglied der Mahidol Bremen Medical Informatics Research Unit (MIRU)

Mitglied des Arbeitsprogramms „Lifespan AI"

Betreuer für das Graduiertenkolleg „CAUSE“

Mitglied des CoAI JRC Joint Research Center on Cooperative and Cognition enabled AI

Mitglied des Forschungsclusters Logdynamics

Publikationen

2015 // Conference paper

Robots, pancakes, and computer games: Designing serious games for robot imitation learning

Conference on Human Factors in Computing Systems - Proceedings

Walther-Franks, B.; Smeddinck, J.; Szmidt, P.; Haidu, A.; Beetz, M.; Malaka, R.

https://doi.org/10.1145/2702123.2702552

2015 // Conference paper

Towards robots conducting chemical experiments

IEEE International Conference on Intelligent Robots and Systems

Lisca, G.; Nyga, D.; Balint-Benczedi, F.; Langer, H.; Beetz, M.

https://doi.org/10.1109/IROS.2015.7354110

2015 // Journal article

Understanding the intention of human activities through semantic perception: Observation, understanding and execution on a humanoid robot

Advanced Robotics

Ramirez-Amaro, K.; Beetz, M.; Cheng, G.

https://doi.org/10.1080/01691864.2014.1003096

2014 // Conference paper

Automatic segmentation and recognition of human activities from observation based on semantic reasoning

IEEE International Conference on Intelligent Robots and Systems

Ramirez-Amaro, K.; Beetz, M.; Cheng, G.

https://doi.org/10.1109/IROS.2014.6943279

2014 // Conference paper

Controlled Natural Languages for language generation in artificial cognition

Proceedings - IEEE International Conference on Robotics and Automation

Kirk, N.H.; Nyga, D.; Beetz, M.

https://doi.org/10.1109/ICRA.2014.6907843

2014 // Journal article

Inpainting of missing values in the kinect sensor's depth maps based on background estimates

IEEE Sensors Journal

Stommel, M.; Beetz, M.; Xu, W.

https://doi.org/10.1109/JSEN.2013.2291315

2014 // Journal article

Introduction to the special issue on visual understanding and applications with RGB-D cameras

Journal of Visual Communication and Image Representation

Liu, Z.; Beetz, M.; Cremers, D.; Gall, J.; Li, W.; Pangercic, D.; Sturm, J.; Tai, Y.-W.

https://doi.org/10.1016/j.jvcir.2013.07.013

2014 // Book

Knowledge-based specification of robot motions

Frontiers in Artificial Intelligence and Applications

Tenorth, M.; Bartels, G.; Beetz, M.

https://doi.org/10.3233/978-1-61499-419-0-873

2014 // Conference paper

Learning task outcome prediction for robot control from interactive environments

IEEE International Conference on Intelligent Robots and Systems

Haidu, A.; Kohlsdorf, D.; Beetz, M.

https://doi.org/10.1109/IROS.2014.6943183

2014 // Journal article

Part-Based Geometric Categorization and Object Reconstruction in Cluttered Table-Top Scenes: Paper Type: Categories (7) and (5)

Journal of Intelligent and Robotic Systems: Theory and Applications

Marton, Z.-C.; Balint-Benczedi, F.; Mozos, O.M.; Blodow, N.; Kanezaki, A.; Goron, L.C.; Pangercic, D.; Beetz, M.

https://doi.org/10.1007/s10846-013-0011-8

2014 // Conference paper

PR2 looking at things - Ensemble learning for unstructured information processing with Markov logic networks

Proceedings - IEEE International Conference on Robotics and Automation

Nyga, D.; Balint-Benczedi, F.; Beetz, M.

https://doi.org/10.1109/ICRA.2014.6907427

2014 // Book

Preface

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Beetz, M.; Johnston, B.; Williams, M.-A.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84909991732&partnerID=MN8TOARS

2014 // Conference paper

Propagation of temporal and pose uncertainty for true mobile manipulation

Proceedings for the Joint Conference of ISR 2014 - 45th International Symposium on Robotics and Robotik 2014 - 8th German Conference on Robotics, ISR/ROBOTIK 2014

Rühr, T.; Beetz, M.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84908406284&partnerID=MN8TOARS

2013 // Book

3D face modeling for multi-feature extraction for intelligent systems

Image Processing: Concepts, Methodologies, Tools, and Applications

Riaz, Z.; Beetz, M.; Gedikli, S.; Radig, B.

https://doi.org/10.4018/978-1-4666-3994-2.ch058

2013 // Conference paper

Acquiring task models for imitation learning through games with a purpose

IEEE International Conference on Intelligent Robots and Systems

Kunze, L.; Haidu, A.; Beetz, M.

https://doi.org/10.1109/IROS.2013.6696339

2013 // Conference paper

Automated alignment of specifications of everyday manipulation tasks

IEEE International Conference on Intelligent Robots and Systems

Tenorth, M.; Ziegltrum, J.; Beetz, M.

https://doi.org/10.1109/IROS.2013.6697215

2013 // Conference paper

Decomposing CAD models of objects of daily use and reasoning about their functional parts

IEEE International Conference on Intelligent Robots and Systems

Tenorth, M.; Profanter, S.; Balint-Benczedi, F.; Beetz, M.

https://doi.org/10.1109/IROS.2013.6697218

2013 // Journal article

Ensembles of strong learners for multi-cue classification

Pattern Recognition Letters

Marton, Z.-C.; Seidel, F.; Balint-Benczedi, F.; Beetz, M.

https://doi.org/10.1016/j.patrec.2012.07.011

2013 // Book

Exchanging action-related information among autonomous robots

Studies in Computational Intelligence

Tenorth, M.; Beetz, M.

https://doi.org/10.1007/978-3-642-35485-4-10

2013 // Book

Exchanging action-related information among autonomous robots

Advances in Intelligent Systems and Computing

Tenorth, M.; Beetz, M.

https://doi.org/10.1007/978-3-642-33926-4_43

2013 // Conference paper

Experience based task and environment specification for plan-based robotic agents

27th KI Workshop on Planen, Scheduling und Konfigurieren, Entwerfen 2013, KI 2013

Messerschmidt, H.; Winkler, J.; Bozcuoǧlu, A.K.; Beetz, M.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84894214570&partnerID=MN8TOARS

2013 // Conference paper

Fast temporal projection using accurate physics-based geometric reasoning

Proceedings - IEEE International Conference on Robotics and Automation

Mosenlechner, L.; Beetz, M.

https://doi.org/10.1109/ICRA.2013.6630817

2013 // Conference paper

Fractal approximate nearest neighbour search in log-log time

BMVC 2013 - Electronic Proceedings of the British Machine Vision Conference 2013

Stommel, M.; Edelkamp, S.; Wiedemeyer, T.; Beetz, M.

https://doi.org/10.5244/C.27.18

2013 // Conference paper

Interactive environment exploration in clutter

IEEE International Conference on Intelligent Robots and Systems

Gupta, M.; Ruhr, T.; Beetz, M.; Sukhatme, G.S.

https://doi.org/10.1109/IROS.2013.6697118

2013 // Journal article

KnowRob: A knowledge processing infrastructure for cognition-enabled robots

International Journal of Robotics Research

Tenorth, M.; Beetz, M.

https://doi.org/10.1177/0278364913481635

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Prof. Michael Beetz

Ökosystem

Publikationen

Robots, pancakes, and computer games: Designing serious games for robot imitation learning

Towards robots conducting chemical experiments

Understanding the intention of human activities through semantic perception: Observation, understanding and execution on a humanoid robot

Automatic segmentation and recognition of human activities from observation based on semantic reasoning

Controlled Natural Languages for language generation in artificial cognition

Inpainting of missing values in the kinect sensor's depth maps based on background estimates

Introduction to the special issue on visual understanding and applications with RGB-D cameras

Knowledge-based specification of robot motions

Learning task outcome prediction for robot control from interactive environments

Part-Based Geometric Categorization and Object Reconstruction in Cluttered Table-Top Scenes: Paper Type: Categories (7) and (5)

PR2 looking at things - Ensemble learning for unstructured information processing with Markov logic networks

Preface

Propagation of temporal and pose uncertainty for true mobile manipulation

3D face modeling for multi-feature extraction for intelligent systems

Acquiring task models for imitation learning through games with a purpose

Automated alignment of specifications of everyday manipulation tasks

Decomposing CAD models of objects of daily use and reasoning about their functional parts

Ensembles of strong learners for multi-cue classification

Exchanging action-related information among autonomous robots

Exchanging action-related information among autonomous robots

Experience based task and environment specification for plan-based robotic agents

Fast temporal projection using accurate physics-based geometric reasoning

Fractal approximate nearest neighbour search in log-log time

Interactive environment exploration in clutter

KnowRob: A knowledge processing infrastructure for cognition-enabled robots

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