Andrey Rudenko

Hi,
my name is Andrey Rudenko, I am a PhD student at the University of Örebro and Robert Bosch GmbH Corporate Research.
I work on human motion trajectory prediction and predictive planning for service robots. In particular I am interested in predicting human motion in industrial warehouse settings for intra-logistics applications (ILIAD project) and in social spaces (SPENCER project).
An up-to-date list of my publications is available at Google Scholar.
Contact
Andrey Rudenko
AASS Research Centre
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Phone +49 711 811-13905
Andrey.Rudenko@de.bosch.com
Publications
Journal Articles
[1] | Guest Editorial : Introduction to the Special Issue on Long-Term Human Motion Prediction. IEEE Robotics and Automation Letters, 6(3):5613-5617, 2021 [ BibTeX | DiVA ] |
[2] | Learning Occupancy Priors of Human Motion From Semantic Maps of Urban Environments. IEEE Robotics and Automation Letters, 6(2):3248-3255, 2021 [ BibTeX | DiVA ] |
[3] | Human motion trajectory prediction : a survey. The international journal of robotics research, 39(8):895-935, 2020 [ BibTeX | DiVA ] |
[4] | THÖR : Human-Robot Navigation Data Collection and Accurate Motion Trajectories Dataset. IEEE Robotics and Automation Letters, 5(2):676-682, 2020 [ BibTeX | DiVA ] |
Refereed Conference and Workshop Articles
[1] | The Atlas Benchmark : an Automated Evaluation Framework for Human Motion Prediction. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pages 636-643, 2022 [ BibTeX | DiVA ] |
[2] | The Effect of Anthropomorphism on Trust in an Industrial Human-Robot Interaction. In SCRITA Workshop Proceedings (arXiv:2208.11090) 2022 [ BibTeX | DiVA | PDF ] |
[3] | The Magni Human Motion Dataset : Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. 2022 [ BibTeX | DiVA | PDF ] |
[4] | Benchmarking Human Motion Prediction Methods. 2020 [ BibTeX | DiVA | PDF ] |
[5] | Human Motion Prediction under Social Grouping Constraints. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 3358-3364, 2018 [ BibTeX | DiVA | PDF ] |
Theses
[1] | Context-aware Human Motion Prediction for Robots in Complex Dynamic Environments. Örebro University, School of Science and Technology, Ph.D. Thesis, 2021 [ BibTeX | DiVA | PDF ] |
Find the complete BibTeX record here.