Prof. Dr. Yulia Sandamirskaya
Prof. Dr. Yulia Sandamirskaya
ZHAW
School of Life Sciences and Facility Management
Schloss
8820 Wädenswil
Work at ZHAW
Focus
- Robotics
- Neuromorphic Computing
- Cognitive Systems
Network
ORCID digital identifier
Social media
Projects
- Robotics to support nursing home residents with dementia / Team member / laufend
- RobotCare – User experience in development of service robots for elderly care / Project leader / laufend
- Neuromorphic Technology for Embodied AI / Project leader / laufend
- Emerging AI and computing technologies / Project leader / abgeschlossen
Publications
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Wróbel, Anna; Sandamirskaya, Yulia; Ott, Thomas,
2025.
Implementing a neuromorphic classifier for NIR spectra analysis of fruits.
Nonlinear Theory and Its Applications.
16(2), pp. 222-232.
Available from: https://doi.org/10.1587/nolta.16.222
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Stewart, Terrence C.; Schuman, Catherine; Sandamirskaya, Yulia; Furber, Steve; Indiveri, Giacomo,
2024.
Focus on benchmarks for neuromorphic computing.
Neuromorphic Computing and Engineering.
4(4), pp. 040202.
Available from: https://doi.org/10.1088/2634-4386/ad962f
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Renner, Alpha; Supic, Lazar; Danielescu, Andreea; Indiveri, Giacomo; Olshausen, Bruno A.; Sandamirskaya, Yulia; Sommer, Friedrich T.; Frady, E. Paxon,
2024.
Neuromorphic visual scene understanding with resonator networks.
Nature Machine Intelligence.
6(6), pp. 641-652.
Available from: https://doi.org/10.1038/s42256-024-00848-0
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Renner, Alpha; Supic, Lazar; Danielescu, Andreea; Indiveri, Giacomo; Frady, E. Paxon; Sommer, Friedrich T.; Sandamirskaya, Yulia,
2024.
Visual odometry with neuromorphic resonator networks.
Nature Machine Intelligence.
6(6), pp. 653-663.
Available from: https://doi.org/10.1038/s42256-024-00846-2
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Hajizada, Elvin; Swaminathan, Balachandran; Sandamirskaya, Yulia,
2024.
Continual learning for autonomous robots : a prototype-based approach [paper].
In:
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, 14-18 October 2024.
IEEE.
pp. 13988-13995.
Available from: https://doi.org/10.1109/IROS58592.2024.10802683
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Azzalini, Loïc; Glüge, Stefan; Struckmeier, Jens; Sandamirskaya, Yulia,
2024.
Event-based hand detection on neuromorphic hardware using a sigma delta neural network [paper].
In:
Wand, Michael; Malinovská, Kristína; Schmidhuber, Jürgen; Tetko, Igor V., eds.,
Artificial Neural Networks and Machine Learning – ICANN 2024.
33rd International Conference on Artificial Neural Networks (ICANN), Lugano, Switzerland, 17–20 September 2024.
Cham:
Springer.
pp. 353-364.
Available from: https://doi.org/10.1007/978-3-031-72359-9_26
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Amaya, Camilo; Eames, Evan; Palinauskas, Gintautas; Perzylo, Alexander; Sandamirskaya, Yulia; von Arnim, Axel,
2024.
Neuromorphic force-control in an industrial task : validating energy and latency benefits [paper].
In:
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, 14-18 October 2024.
IEEE.
pp. 717-724.
Available from: https://doi.org/10.1109/IROS58592.2024.10802430
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Wróbel, Anna; Sandamirskaya, Yulia; Ott, Thomas,
2023.
A spiking neural network for classifying NIR spectra of fruits [paper].
In:
International Symposium on Nonlinear Theory and Its Applications (NOLTA), Catania, Italy, 26-29 September 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-30070
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Sandamirskaya, Yulia; Gerber, Nicole,
2024.
Robotik für Heime – was ist möglich, was nötig?.
In:
9. Fachkonferenz – Das Pflegeheim der Zukunft, Blezinger Healthcare, Interlaken, Schweiz, 20.-21. Juni 2024.