Researcher Portfolio

Kierszniowska, S.

Signalling Proteomics, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society

Researcher Profile

Position: Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society

Position: Signalling Proteomics, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society

Researcher ID: https://pure.mpg.de/cone/persons/resource/persons97228

External references

WorldCat Search for Kierszniowska, S.

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Publications

(1 - 25 of 103)

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: Gertler, I., & Kuchenbecker, K. J. (2025). A Sleeve Alters the Pressure-Stretch Curve of a Hyperelastic Balloon to Enable Pre-Programmed Sequencing. Advanced Materials Technologies, 10(6): 202400993. doi:10.1002/admt.202400993. [PubMan] : Gomez, E. D., Husin, H. M., Dumon, K. R., Williams, N. N., & Kuchenbecker, K. J. (2025). Simulation Training with Haptic Feedback of Instrument Vibrations Reduces Resident Workload During Live Robot-Assisted Sleeve Gastrectomy. Surgical Endoscopy, 39(3), 1523-1535. doi:10.1007/s00464-024-11459-6. [PubMan] : Sanchez-Tamayo, N., Yoder, Z., Rothemund, P., Ballardini, G., Keplinger, C., & Kuchenbecker, K. J. (2024). Cutaneous Electrohydraulic (CUTE) Wearable Devices for Pleasant Broad-Bandwidth Haptic Cues. Advanced Science, 11(48): 2402461. doi:10.1002/advs.202402461. [PubMan] : Bartels, J. U., Sanchez-Tamayo, N., Sedlmair, M., & Kuchenbecker, K. J. (2024). Active Haptic Feedback for a Virtual Wrist-Anchored User Interface. In L. Yao, M. Goel, A. Ion, & P. Lopes (Eds.), UIST Adjunct '24: Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. New York, NY: The Association for Computing Machinery. doi:10.1145/3672539.3686765. [PubMan] : Serhat, G., & Kuchenbecker, K. J. (2024). Fingertip Dynamic Response Simulated Across Excitation Points and Frequencies. Biomechanics and Modeling in Mechanobiology, 23, 1369-1376. doi:10.1007/s10237-024-01844-4. [PubMan] : Khojasteh, B., Solowjow, F., Trimpe, S., & Kuchenbecker, K. J. (2024). Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test. IEEE Transactions on Automation Science and Engineering, 21(3), 4432-4447. doi:10.1109/TASE.2023.3296569. [PubMan] : Gong, Y., Husin, H. M., Erol, E., Ortenzi, V., & Kuchenbecker, K. J. (2024). AiroTouch: Enhancing Telerobotic Assembly through Naturalistic Haptic Feedback of Tool Vibrations. Frontiers in Robotics and AI, 11: 1355205. doi:10.3389/frobt.2024.1355205. [PubMan] : Mohan, M., Nunez, C. M., & Kuchenbecker, K. J. (2024). Closing the Loop in Minimally Supervised Human-Robot Interaction: Formative and Summative Feedback. Scientific Reports, 14: 10564. doi:10.1038/s41598-024-60905-x. [PubMan] : Mohan, M., Husin, H. M., & Kuchenbecker, K. J. (2024). Expert Perception of Teleoperated Social Exercise Robots. In HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 769-773). New York, NY: Association for Computing Machiner. [PubMan] : Khojasteh, B., Shao, Y., & Kuchenbecker, K. J. (2024). Robust Surface Recognition with the Maximum Mean Discrepancy: Degrading Haptic-Auditory Signals through Bandwidth and Noise. IEEE Transactions on Haptics, 17(1), 58-65. doi:10.1109/TOH.2024.3356609. [PubMan] : Fitter, N. T., Mohan, M., Preston, R. C., Johnson, M. J., & Kuchenbecker, K. J. (2024). How Should Robots Exercise with People? Robot-Mediated Exergames Win with Music, Social Analogues, and Gameplay Clarity. Frontiers in Robotics and AI, 10: 1155837. doi:10.3389/frobt.2023.1155837. [PubMan] : Rokhmanova, N., Pearl, O., Kuchenbecker, K. J., & Halilaj, E. (2024). IMU-Based Kinematics Estimation Accuracy Affects Gait Retraining Using Vibrotactile Cues. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 1005-1012. doi:10.1109/TNSRE.2024.3365204. [PubMan] : Burns, R., Ojo, F., & Kuchenbecker, K. J. (2023). Wear Your Heart on Your Sleeve: Users Prefer Robots with Emotional Reactions to Touch and Ambient Moods. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1914-1921). New York, NY: IEEE. [PubMan] : L'Orsa, R., Lama, S., Westwick, D., Sutherland, G., & Kuchenbecker, K. J. (2023). Towards semi-automated pleural cavity access for pneumothorax in austere environments. Acta Astronautica, 212, 48-53. doi:10.1016/j.actaastro.2023.07.029. [PubMan] : Lee, Y.-E., Husin, H. M., Forte, M. P., Lee, S.-W., & Kuchenbecker, K. J. (2023). Learning to Estimate Palpation Forces in Robotic Surgery From Visual-Inertial Data. IEEE Transactions on Medical Robotics and Bionics, 5(3), 496-506. doi:10.1109/TMRB.2023.3295008. [PubMan] : Gertler, I., Serhat, G., & Kuchenbecker, K. J. (2023). Generating Clear Vibrotactile Cues with a Magnet Embedded in a Soft Finger Sheath. Soft Robotics, 10(3), 624-635. doi:10.1089/soro.2021.0184. [PubMan] : Andrussow, I., Sun, H., Kuchenbecker, K. J., & Martius, G. (2023). Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation. Advanced Intelligent Systems, 5(8): 2300042. doi:doi.org/10.1002/aisy.202300042. [PubMan] : Fazlollahi, F., & Kuchenbecker, K. J. (2023). Haptify: A Measurement-Based Benchmarking System for Grounded Force-Feedback Devices. IEEE Transactions on Robotics, 39(2), 1622-1636. doi:10.1109/TRO.2022.3226110. [PubMan] : Spiers, A., Young, E., & Kuchenbecker, K. J. (2023). The S-BAN: Insights into the Perception of Shape-Changing Haptic Interfaces via Virtual Pedestrian Navigation. ACM Transactions on Computer-Human Interaction, 30(1): 11. doi:10.1145/3555046. [PubMan] : Lee, H., Sun, H., Park, H., Serhat, G., Javot, B., Martius, G., & Kuchenbecker, K. J. (2023). Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks. IEEE Transactions on Automation Science and Engineering, 20(1), 425-439. doi:10.1109/TASE.2022.3156184. [PubMan] : Forte, M. P., Kulits, P., Huang, C.-H.-P., Choutas, V., Tzionas, D., Kuchenbecker, K. J., & Black, M. J. (2023). Reconstructing Signing Avatars from Video Using Linguistic Priors. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 12791-12801). New York, NY: IEEE. doi:10.1109/CVPR52729.2023.01230. [PubMan] : Gong, Y., Javot, B., Lauer, A. P. R., Sawodny, O., & Kuchenbecker, K. J. (2023). Naturalistic Vibrotactile Feedback Could Facilitate Telerobotic Assembly on Construction Sites. In 2023 IEEE World Haptics Conference (WHC) (pp. 169-175). New York, NY: IEEE. doi:10.1109/WHC56415.2023.10224499. [PubMan] : Thomas, N., Fazlollahi, F., Kuchenbecker, K. J., & Brown, J. D. (2023). The Utility of Synthetic Reflexes and Haptic Feedback for Upper-Limb Prostheses in a Dexterous Task Without Direct Vision. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 169-179. doi:10.1109/TNSRE.2022.3217452. [PubMan] : Brown, J. D., & Kuchenbecker, K. J. (2022). Effects of automated skill assessment on robotic surgery training. The International Journal of Medical Robotics and Computer Assisted Surgery, 19(2): e2492. doi:10.1002/rcs.2492. [PubMan] : Richardson, B. A., Kuchenbecker, K. J., & Martius, G. (2022). A Sequential Group VAE for Robot Learning of Haptic Representations. In Aligning Robot Representations with Humans (Workshop CoRL 2022). [PubMan]