RobotCare – Network for Robots who Care
RobotCare is a community network of various national and international stakeholders coordinated by the ZHAW in the context of developing service robots for the specific needs of retirement and nursing homes.
Goals / What we offer
Application-centred clarification of the needs in the field of service robotics in retirement and nursing homes and corresponding derivation of the market potential nationally and internationally
Establishing a systematic dialogue between technology developers and researchers as well as stakeholders of the elderly and healthcare facilities, including care and service staff, management and residents and their families
Identification of synergies between national and international universities for future joint initiatives in the field of applied research and development
Retrospect
- 4.2.2025 Visit of WIRED JAPAN
- 21./22.11.2024 open-i 2024 - The Swiss Innovation Platform
- 15.11.2024 Presentation of Unitree G1 «Roboter-Premiere in Winterthur»
- 01.11.2024 Swiss Robotics Day 2024, Bern (exhibitors)
- 02.09.2024 Workshop at the Digital Health Lab Day 2024 «Co-design of Service Robots in Healthcare: Multiple perspectives and stakeholders» in Winterthur; TRANSFER magazine article
Projects
Unfortunately, no list of projects can be displayed here at the moment. Until the list is available again, the project search on the ZHAW homepage can be used.
Publications
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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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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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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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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