"False"
Umeå University
printicon
Main menu hidden.
Staff photo Polina Kurtser

Polina Kurtser

Postdoctoral associate with specialization in ML and Robotics. Skilled in Medical Devices, Agricultural Robotics and AI.

Contact

E-mail
polina.kurtser@umu.se
Phone

Works at

Affiliation
Associate professor at Department of Computing Science
Location
MIT-huset, Umeå universitet, MIT.F.228 Umeå universitet, 901 87 Umeå

Associate proffespecialization in ML and Robotics. Skilled in Medical Devices, Agricultural Robotics and AI. Obtained her Ph.D. in Computer Vision and Agri-Robotics from Ben-Gurion University of the Negev, in 2019 folowed by postdoctoral positions at the Centre for Applied Autonomous Sensor Systems (AASS), Örebro University and Department of Radiation Sciences, Umeå University.

Advances in machine learning for agricultural robots
Advances in agri-food robotics, Cambridge: Burleigh Dodds Science Publishing 2024 : 103-134
Kurtser, Polina; Lowry, Stephanie; Ringdahl, Ola
Calibration-free multi-camera vision for hand gesture recognition in human-robot interaction
ICRA@40, 40th Anniversary of the IEEE International Conference on Robotics and Automation, Rotterdam, Netherlands, September 23-26, 2024
Kurtser, Polina; Ringdahl, Ola
Robust scan registration for navigation in forest environment using low-resolution LiDAR sensors
Sensors, MDPI 2023, Vol. 23, (10)
Gupta, Himanshu; Andreasson, Henrik; Lilienthal, Achim J.; et al.
NDT-6D for color registration in agri-robotic applications
Journal of Field Robotics, John Wiley & Sons 2023, Vol. 40, (6) : 1603-1619
Gupta, Himanshu; Lilienthal, Achim J.; Andreasson, Henrik; et al.
RGB-D datasets for robotic perception in site-specific agricultural operations: a survey
Computers and Electronics in Agriculture, Elsevier 2023, Vol. 212
Kurtser, Polina; Lowry, Stephanie
Controlled mechanical stimuli reveal novel associations between basil metabolism and sensory quality
Food Chemistry, Elsevier 2023, Vol. 404, (Part A)
Seeburger, P.; Herdenstam, Anders P. F.; Kurtser, Polina; et al.
Nature versus machine: a pilot study using a semi-trained culinary panel to perform sensory evaluation of robot-cultivated basil affected by mechanically induced stress
International Journal of Gastronomy and Food Science, Elsevier 2022, Vol. 29
Herdenstam, Anders P. F.; Kurtser, Polina; Swahn, Johan; et al.
Nature versus machine: Sensory evaluation of robot-cultivated basil affected by mechanically induced stress
Elsevier 2022
Herdenstam, Anders P. F.; Kurtser, Polina; Swahn, Johan; et al.
Development of novel robotic platforms for mechanical stress induction, and their effects on plant morphology, elements, and metabolism
Scientific Reports, Springer Nature 2021, Vol. 11, (1)
Kurtser, Polina; Castro Alves, Victor; Arunachalam, Ajay; et al.
Development of a sweet pepper harvesting robot
Journal of Field Robotics, John Wiley & Sons 2020, Vol. 37, (6) : 1027-1039
Arad, Boaz; Balendonck, Jos; Barth, Ruud; et al.
Planning the sequence of tasks for harvesting robots
Robotics and Autonomous Systems, Elsevier 2020, Vol. 131
Kurtser, Polina; Edan, Yael
Robotic Platform for Precise Mechanical Stress Induction in Greenhouses Cultivation
2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), IEEE 2020 : 1558-1565
Kurtser, Polina; Hanell, Ulf; Andreasson, Henrik
PointNet and geometric reasoning for detection of grape vines from single frame RGB-D data in outdoor conditions
Proceedings of the Northern Lights Deep Learning Workshop, Septentrio Academic Publishing 2020 : 1-6
Kurtser, Polina; Ringdahl, Ola; Rotstein, Nati; et al.
In-field grape cluster size assessment for vine yield estimation using a mobile robot and a consumer level RGB-D camera
IEEE Robotics and Automation Letters, IEEE 2020, Vol. 5, (2) : 2031-2038
Kurtser, Polina; Ringdahl, Ola; Rotstein, Nati; et al.
Crop design for improved robotic harvesting: a case study of sweet pepper harvesting
Biosystems Engineering, Elsevier 2020, Vol. 192 : 294-308
van Herck, Liesbet; Kurtser, Polina; Wittemans, Lieve; et al.
Controlled Lighting and Illumination-Independent Target Detection for Real-Time Cost-Efficient Applications: The Case Study of Sweet Pepper Robotic Harvesting
Sensors, MDPI 2019, Vol. 19, (6)
Arad, Boaz; Kurtser, Polina; Barnea, Ehud; et al.
Mobile apps and employee behavior: An empirical investigation of the implementation of a fleet-management app
International Journal of Information Management, Elsevier 2019, Vol. 49 : 355-365
Levi-Bliech, Michal; Kurtser, Polina; Pliskin, Nava; et al.
Evaluation of approach strategies for harvesting robots: case study of sweet pepper harvesting
Journal of Intelligent and Robotic Systems, Springer Netherlands 2019, Vol. 95, (1) : 149-164
Ringdahl, Ola; Kurtser, Polina; Edan, Yael
Performance of RGB-D camera for different object types in greenhouse conditions
2019 European conference on mobile robots (ECMR): conference proceedings September 4- 6, 2019 Prague Czech Republic
Ringdahl, Ola; Kurtser, Polina; Edan, Yael
Automatic Parameter Tuning for Adaptive Thresholding in Fruit Detection
Sensors, MDPI 2019, Vol. 19, (9)
Zemmour, Elie; Kurtser, Polina; Edan, Yael
Statistical models for fruit detectability: spatial and temporal analyses of sweet peppers
Biosystems Engineering, Academic Press 2018, Vol. 171 : 272-289
Kurtser, Polina; Edan, Yael
The use of dynamic sensing strategies to improve detection for a pepper harvesting robot
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE 2018 : 8286-8293
Kurtser, Polina; Edan, Yael
The effects of a fleet-management app on driver behavior
26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS 2018
Levi-Bliech, Michal; Kurtser, Polina; Pliskin, Nava; et al.
Strategies for selecting best approach direction for a sweet-pepper harvesting robot
Towards autonomous robotic systems: 18th annual conference, TAROS 2017, Guildford, UK, July 19–21, 2017, proceedings, Cham: Springer 2017 : 516-525
Ringdahl, Ola; Kurtser, Polina; Edan, Yael
Dynamic thresholding algorithm for robotic apple detection
2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), IEEE 2017 : 240-246
Zemmour, Elie; Kurtser, Polina; Edan, Yael
Sweet pepper maturity evaluation via multiple viewpoints color analyses
CIGR-AgEng Conference, Aarhus, Denmark, June 26-29, 2016.
Harel, Ben; Kurtser, Polina; van Herck, Liesbet; et al.
Robotic data acquisition of sweet pepper images for research and development
The 5th Israeli Conference on Robotics 2016, Air Force Conference Center Hertzilya, Israel, April 13-14, 2016.
Kurtser, Polina; Arad, Boaz; Ben-Shahar, Ohad; et al.
Operational flow of an autonomous sweetpepper harvesting robot
The 5th Israeli Conference on Robotics 2016, Air Force Conference Center Hertzilya, Israel, April 13-14, 2016.
Ringdahl, Ola; Kurtser, Polina; Barth, Ruud; et al.
Detection and classification of ECG chaotic components using ANN trained by specially simulated data
Engineering Applications of Neural Networks, Berlin, Heidelberg: Springer 2012 : 193-202
Kurtser, Polina; Levi, Ofer; Gontar, Vladimir
View publications in DiVA

Research groups

Group member
Tufve Nyholm Lab

Experienced Lecturer and Teaching Assistant in Deep learning, Machine learning, Robotics, Statistics and Optimization