Daniel Reichard

According to our database, Daniel Reichard authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Voxel Based Motion Prediction for Efficient HRC Utilizing Latent Space.

Niklas Spielbauer, Daniel Reichard, Gabriele Bolano, Annett Stelzer, Michael Suppa, Michael Leske, Janus Steinbronn, Diana Rothe, Arne Roennau, Rüdiger Dillmann

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2020

Embodied Neuromorphic Vision with Continuous Random Backpropagation.

Jacques Kaiser, Alexander Friedrich, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann

Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2019

Combining Motor Primitives for Perception Driven Target Reaching With Spiking Neurons.

Juan Camilo Vasquez Tieck, Lea Steffen, Jacques Kaiser, Daniel Reichard, Arne Roennau, Rüdiger Dillmann

Int. J. Cogn. Informatics Nat. Intell., 2019

Neuromorphic Stereo Vision: A Survey of Bio-Inspired Sensors and Algorithms.

Lea Steffen, Daniel Reichard, Jakob Weinland, Jacques Kaiser, Arne Roennau, Rüdiger Dillmann

Frontiers Neurorobotics, 2019

Embodied Synaptic Plasticity With Online Reinforcement Learning.

Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann

Frontiers Neurorobotics, 2019

Embodied Event-Driven Random Backpropagation.

Jacques Kaiser, Alexander Friedrich, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann

CoRR, 2019

Combining spiking motor primitives with a behaviour-based architecture to model locomotion for six-legged robots.

Juan Camilo Vasquez Tieck, Jacqueline Rutschke, Jacques Kaiser, Martin Schulze, Timothee Buettner, Daniel Reichard, Arne Roennau, Rüdiger Dillmann

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

The Neurorobotics Platform for Teaching - Embodiment Experiments with Spiking Neural Networks and Virtual Robots.

Juan Camilo Vasquez Tieck, Jacques Kaiser, Lea Steffen, Martin Schulze, Axel von Arnim, Daniel Reichard, Arne Roennau, Rüdiger Dillmann

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

Creating an Obstacle Memory Through Event-Based Stereo Vision and Robotic Proprioception.

Lea Steffen, Benedict Hauck, Jacques Kaiser, Jakob Weinland, Stefan Ulbrich, Daniel Reichard, Arne Roennau, Rüdiger Dillmann

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Learning target reaching motions with a robotic arm using brain-inspired dopamine modulated STDP.

Juan Camilo Vasquez Tieck, Pascal Becker, Jacques Kaiser, Igor Peric, Mahmoud Akl, Daniel Reichard, Arne Roennau, Rüdiger Dillmann

Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018

Bildbasierte Weichgeweberegistrierung in der Laparoskopie

Daniel Reichard

PhD thesis, 2018

Microsaccades for Neuromorphic Stereo Vision.

Jacques Kaiser, Jakob Weinland, Philip Keller, Lea Steffen, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Jörg Conradt, Rüdiger Dillmann

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery.

Daniel Reichard, Dominik Häntsch, Sebastian Bodenstedt, Stefan Suwelack, Martin Wagner, Hannes Kenngott, Beat Peter Müller-Stich, Lena Maier-Hein, Rüdiger Dillmann, Stefanie Speidel

Int. J. Comput. Assist. Radiol. Surg., 2017

2016

Robust endoscopic pose estimation for intraoperative organ-mosaicking.

Daniel Reichard, Sebastian Bodenstedt, Stefan Suwelack, Martin Wagner, Hannes Kenngott, Beat P. Müller-Stich, Rüdiger Dillmann, Stefanie Speidel

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Deep Disparity - Deep Learning für maßgeschneiderte endoskopische Stereo-Rekonstruktionen.

Daniel Reichard, Dominik Häntsch, Sebastian Bodenstedt, Hannes Kenngott, Beat P. Müller-Stich, Rüdiger Dillmann, Stefanie Speidel

Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

2015

Intraoperative on-the-fly organ-mosaicking for laparoscopic surgery.

Sebastian Bodenstedt, Daniel Reichard, Stefan Suwelack, Martin Wagner, Hannes Kenngott, Beat P. Müller-Stich, Rüdiger Dillmann, Stefanie Speidel

Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015