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Polina Kurtser

Title: Postdoctoral Researcher School/office: School of Science and Technology

Email:

Phone: +46 19 301410

Room: T1213

Polina Kurtser

Research Subject

Research environments

About Polina Kurtser

I am a post-doctoral researcher at Mobile Robotics and Olfaction Lab (MR&O) at Örebro University. Before to joining the MR&O lab in April 2019, I completed my PhD at the Department of Industrial Engineering and Management, Ben-Gurion University of the Negev (BGU) in Beer-Sheva, Israel. I have a Bachelors degree in Biomedical Engineering and a Masters degree in Industrial Engineering and Management from Ben-Gurion University of the Negev. I’ve been a short term visiting scholar at Forschungszentrum Jülich, Germany (2013) and Umeå University, Sweden (2016).

My research interests include computer vision, statistical analysis and machine learning techniques for agricultural robotic and medical imaging applications. I currently mainly focus on dynamic sensing, and information content estimation.

In my PhD I’ve been involved the EU Horizon 2020 project SWEEPER. The resulted product:

 

My list of publications is available on Google scholar page.

 

Research Projects

Research Projects

Research Teams

Research Teams

Publications

Publications

Articles in journals |  Conference papers | 

Articles in journals

Herck, L. v. , Kurtser, P. , Wittemans, L. & Edan, Y. (2020). Crop design for improved robotic harvesting: A case study of sweet pepper harvesting. Biosystems Engineering, 192, 294-308.

Information via DOI

Arad, B. , Balendonck, J. , Barth, R. , Ben-Shahar, O. , Edan, Y. , Hellström, T. , Hemming, J. , Kurtser, P. & et al. (2020). Development of a sweet pepper harvesting robot. Journal of Field Robotics.

Information via DOIFull text in DiVA

Kurtser, P. , Ringdahl, O. , Rotstein, N. , Berenstein, R. & Edan, Y. (2020). 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, 5 (2), 2031-2038.

Information via DOI

Ringdahl, O. , Kurtser, P. & Edan, Y. (2019). Evaluation of approach strategies for harvesting robots: Case study of sweet pepper harvesting. Journal of Intelligent and Robotic Systems, 95 (1), 149-164.

Information via DOIFull text in DiVA

Levi-Bliech, M. , Kurtser, P. , Pliskin, N. & Fink, L. (2019). Mobile apps and employee behavior: An empirical investigation of the implementation of a fleet-management app. International Journal of Information Management, 49, 355-365.

Information via DOI

Kurtser, P. & Edan, Y. (2018). The use of dynamic sensing strategies to improve detection for a pepper harvesting robot. IEEE International Conference on Intelligent Robots and Systems. Proceedings, 8286-8293.

Information via DOI

Conference papers

Kurtser, P. , Ringdahl, O. , Rotstein, N. & Andreasson, H. (2020). PointNet and geometric reasoning for detection of grape vines from single frame RGB-D data in outdoor conditions. In: Proceedings of the Northern Lights Deep Learning Workshop. Paper presented at 3rd Northern Lights Deep Learning Workshop, Tromsö, Norway 20-21 January, 2019 (pp. 1-6). NLDL.

Information via DOIFull text in DiVA

Ringdahl, O. , Kurtser, P. & Edan, Y. (2019). Performance of RGB-D camera for different object types in greenhouse conditions. In: Libor Přeučil, Sven Behnke, Miroslav Kulich, 2019 European Conference on Mobile Robots (ECMR). Paper presented at 2019 European Conference on Mobile Robots (ECMR), Prague, Czech Republic, 4-6 Sept. 2019 (pp. 1-6). IEEE.

Information via DOIMore information on external website

Levi-Bliech, M. , Kurtser, P. , Pliskin, N. & Fink, L. (2018). The effects of a fleet-management app on driver behavior. Paper presented at 26th European Conference on Information Systems (ECIS2018), Portsmouth, UK, June 26-28, 2018..

More information on external website

Zemmour, E. , Kurtser, P. & Edan, Y. (2017). Dynamic thresholding algorithm for robotic apple detection. In: 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). Paper presented at IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2017), Coimbra, Portugal- April 26-28, 2017 (pp. 240-246). IEEE.

Information via DOI

Ringdahl, O. , Kurtser, P. & Edan, Y. (2017). Strategies for selecting best approach direction for a sweet-pepper harvesting robot. In: Yang Gao, Saber Fallah, Yaochu Jin, Constantina Lekakou, Towards Autonomous Robotic Systems (Taros 2017). Paper presented at TAROS 2017: the 18th Towards Autonomous Robotic Systems (TAROS) Conference, University of Surrey, Guildford, UK, July 19–21, 2017 (pp. 516-525). Cham: Springer.

Information via DOIFull text in DiVA

Ringdahl, O. , Kurtser, P. , Barth, R. & Edan, Y. (2016). Operational flow of an autonomous sweetpepper harvesting robot. Paper presented at The 5th Israeli Conference on Robotics 2016, Air Force Conference Center Hertzilya, Israel, 13-14 April, 2016.

Full text in DiVA

Kurtser, P. , Arad, B. , Ben-Shahar, O. , van Bree, M. , Moonen, J. , van Tujil, B. & Edan, Y. (2016). Robotic data acquisition of sweet pepper images for research and development. Paper presented at The 5th Israeli Conference on Robotics 2016, Air Force Conference Center Hertzilya, Israel, 13-14 April, 2016.

Full text in DiVA

Harel, B. , Kurtser, P. , van Herck, L. , Parmet, Y. & Edan, Y. (2016). Sweet pepper maturity evaluation via multiple viewpoints color analyses. Paper presented at CIGR-AgEng Conference, Aarhus, Denmark, 26-29 June, 2016 (pp. 1-7).

Full text in DiVA