Martin Gromniak

According to our database, Martin Gromniak authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Neural Field Conditioning Strategies for 2D Semantic Segmentation.

Martin Gromniak, Sven Magg, Stefan Wermter

CoRR, 2023

A Closer Look at Reward Decomposition for High-Level Robotic Explanations.

Wenhao Lu, Sven Magg, Xufeng Zhao, Martin Gromniak, Stefan Wermter

CoRR, 2023

A Closer Look at Reward Decomposition for High-Level Robotic Explanations.

Wenhao Lu, Xufeng Zhao, Sven Magg, Martin Gromniak, Mengdi Li, Stefan Wermter

Proceedings of the IEEE International Conference on Development and Learning, 2023

2022

Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses.

Maximilian Neidhardt, Stefan Gerlach, Robin Mieling, Max-Heinrich Laves, Thorben Weiß, Martin Gromniak, Antonia Fitzek, Dustin Möbius, Inga Kniep, Alexandra Ron, Julia Schädler, Axel Heinemann, Klaus Püschel, Benjamin Ondruschka, Alexander Schlaefer

CoRR, 2022

Proximity-Based Haptic Feedback for Collaborative Robotic Needle Insertion.

Robin Mieling, Carolin Stapper, Stefan Gerlach, Maximilian Neidhardt, Sarah Latus, Martin Gromniak, Philipp Breitfeld, Alexander Schlaefer

Proceedings of the Haptics: Science, Technology, Applications, 2022

2020

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography.

Matthias Schlüter, Lukas Glandorf, Martin Gromniak, Thore Saathoff, Alexander Schlaefer

Sensors, 2020

Needle tip force estimation by deep learning from raw spectral OCT data.

Martin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., 2020

High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images.

Matthias Schlüter, Lukas Glandorf, Johanna Sprenger, Martin Gromniak, Maximilian Neidhardt, Thore Saathoff, Alexander Schlaefer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels.

Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer

CoRR, 2019

Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation.

Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Deep Reinforcement Learning for Mobile Robot Navigation.

Martin Gromniak, Jonas Stenzel

Proceedings of the 4th Asia-Pacific Conference on Intelligent Robot Systems, 2019

2018

Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks.

Omer Rajput, Nils Gessert, Martin Gromniak, Lars Matthäus, Alexander Schlaefer

CoRR, 2018