Elmar Berghöfer

According to our database, Elmar Berghöfer authored at least 8 papers between 2011 and 2020.

Collaborative distances:

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

2020

Online Reconfiguration of Distributed Robot Control Systems for Modular Robot Behavior Implementation.

Malte Wirkus, Sascha Arnold, Elmar Berghöfer

J. Intell. Robotic Syst., 2020

2015

Probabilistic Situation Detection for Human-Robot Interaction in an OP Lab Environment.

Luzie Schreiter, Elmar Berghöfer, Tim Beyl, Lisa Senger, Jörg Raczkowsky, Frank Kirchner, Heinz Wörn

Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

2014

Automatic classification of epilepsy types using ontology-based and genetics-based machine learning.

Yohannes Kassahun, Roberta Perrone, Elena De Momi, Elmar Berghöfer, Laura Tassi, Maria Paola Canevini, Roberto Spreafico, Giancarlo Ferrigno, Frank Kirchner

Artif. Intell. Medicine, 2014

Probalilistische Echtzeit-Situationserkennung im Operationssaal am Beispiel von OP: Sense.

Luzie Schreiter, Lisa Senger, Tim Beyl, Elmar Berghöfer, Jörg Raczkowsky, Heinz Wörn

Proceedings of the 13. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2014

2013

ART-based fusion of multi-modal perception for robots.

Elmar Berghöfer, Denis Schulze, Christian Rauch, Marko Tscherepanow, Tim Köhler, Sven Wachsmuth

Neurocomputing, 2013

Comparison of Sensor-Feedback Prediction Methods for Robust Behavior Execution.

Christian Rauch, Elmar Berghöfer, Tim Köhler, Frank Kirchner

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

2012

Concept of a Biologically Inspired Robust Behaviour Control System.

Tim Köhler, Christian Rauch, Martin Schröer, Elmar Berghöfer, Frank Kirchner

Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012

2011

ART-Based Fusion of Multi-modal Information for Mobile Robots.

Elmar Berghöfer, Denis Schulze, Marko Tscherepanow, Sven Wachsmuth

Proceedings of the Engineering Applications of Neural Networks, 2011