Dr. Oliver Lomp

RUB
INI
Alumni
Dr. Oliver Lomp

Theory of Cognitive Systems

oliver.lomp@ini.rub.de

I mainly focus on integrating perception and object recognition into dynamic field theory.

If you are a student from one of my exercise classes looking for help, you can always contact me via email or come by personally. I don't have fixed office hours ("Sprechstunde"). Instead, just send me an email for an appointment; these can usually be made on the next, maybe even the same day. If you really need help and can't wait, you can also come by unannounced, but I may be in a meeting or otherwise occupied.

I'm also more frequently found in the robotics lab (NB 02/77) than in my actual office.

2017

A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity
Lomp, O., Faubel, C., & Schöner, G.
Frontiers in Neurorobotics, 11(April), 23

reprint

@article{LompFaubelSchöner2017, author = {Lomp, Oliver and Faubel, Christian and Schöner, Gregor}, title = {A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity}, journal = {Frontiers in Neurorobotics}, volume = {11}, number = {April}, pages = {23}, year = {2017}, doi = {10.3389/fnbot.2017.00023}, }

Lomp, O., Faubel, C., & Schöner, G.. (2017). A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity. Frontiers in Neurorobotics, 11(April), 23. http://doi.org/10.3389/fnbot.2017.00023

2016

Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar
Lomp, O., Richter, M., Zibner, S. K. U., & Schöner, G.
Frontiers in Neurorobotics, 10(November), 14

reprint

@article{LompRichterZibnerEtAl2016, author = {Lomp, Oliver and Richter, Mathis and Zibner, Stephan K. U. and Schöner, Gregor}, title = {Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar}, journal = {Frontiers in Neurorobotics}, volume = {10}, number = {November}, pages = {14}, year = {2016}, doi = {10.3389/fnbot.2016.00014}, }

Lomp, O., Richter, M., Zibner, S. K. U., & Schöner, G.. (2016). Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar. Frontiers in Neurorobotics, 10(November), 14. http://doi.org/10.3389/fnbot.2016.00014

2014

Instance-based object recognition with simultaneous pose estimation using keypoint maps and neural dynamics
Lomp, O., Terzić, K., Faubel, C., du Buf, J. M. H., & Schöner, G.
In International Conference on Artificial Neural Networks (pp. 451–458) Springer

@inproceedings{LompTerzićFaubelEtAl2014, author = {Lomp, Oliver and Terzić, Kasim and Faubel, Christian and du Buf, JM Hans and Schöner, Gregor}, title = {Instance-based object recognition with simultaneous pose estimation using keypoint maps and neural dynamics}, booktitle = {International Conference on Artificial Neural Networks}, pages = {451–458}, organization = {Springer}, year = {2014}, }

Lomp, O., Terzić, K., Faubel, C., du Buf, J. M. H., & Schöner, G.. (2014). Instance-based object recognition with simultaneous pose estimation using keypoint maps and neural dynamics. In International Conference on Artificial Neural Networks (pp. 451–458). Springer.

2013

A software framework for cognition, embodiment, dynamics, and autonomy in robotics: cedar
Lomp, O., Zibner, S. K. U., Richter, M., Ranó, I., & Schöner, G.
In International Conference on Artificial Neural Networks (pp. 475–482) Springer

pdf

@inproceedings{LompZibnerRichterEtAl2013, author = {Lomp, Oliver and Zibner, Stephan Klaus Ulrich and Richter, Mathis and Ranó, Inaki and Schöner, Gregor}, title = {A software framework for cognition, embodiment, dynamics, and autonomy in robotics: cedar}, booktitle = {International Conference on Artificial Neural Networks}, pages = {475–482}, organization = {Springer}, year = {2013}, }

Lomp, O., Zibner, S. K. U., Richter, M., Ranó, I., & Schöner, G.. (2013). A software framework for cognition, embodiment, dynamics, and autonomy in robotics: cedar. In International Conference on Artificial Neural Networks (pp. 475–482). Springer.

Summer Term 2016

Lab courses

Autonomous Robotics

About the INI

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Contact

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210

sekretariat@ini.rub.de
www.ini.rub.de