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

Dr. 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]	I. Rudenko, A. Rudenko, A. J. Lilienthal, K. O. Arras and B. Bruno. The Child Factor in Child-Robot Interaction : Discovering the Impact of Developmental Stage and Individual Characteristics. International Journal of Social Robotics 2024 [ BibTeX \| DiVA ]
[2]	T. Schreiter, T. R. d. Almeida, Y. Zhu, E. Gutiérrez Maestro, L. Morillo-Mendez, A. Rudenko, L. Palmieri, T. P. Kucner, M. Magnusson and A. J. Lilienthal. THÖR-MAGNI : A large-scale indoor motion capture recording of human movement and robot interaction. The international journal of robotics research 2024 [ BibTeX \| DiVA ]
[3]	T. R. d. Almeida, Y. Zhu, A. Rudenko, T. P. Kucner, J. A. Stork, M. Magnusson and A. J. Lilienthal. Trajectory Prediction for Heterogeneous Agents : A Performance Analysis on Small and Imbalanced Datasets. IEEE Robotics and Automation Letters, 9(7):6576-6583, 2024 [ BibTeX \| DiVA ]
[4]	L. Palmieri, A. Rudenko, J. Mainprice, M. Hanheide, A. Alahi, A. Lilienthal and K. O. Arras. 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 ]
[5]	A. Rudenko, L. Palmieri, J. Doellinger, A. Lilienthal and K. O. Arras. Learning Occupancy Priors of Human Motion From Semantic Maps of Urban Environments. IEEE Robotics and Automation Letters, 6(2):3248-3255, 2021 [ BibTeX \| DiVA ]
[6]	A. Rudenko, L. Palmieri, M. Herman, K. M. Kitani, D. M. Gavrila and K. O. Arras. Human motion trajectory prediction : a survey. The international journal of robotics research, 39(8):895-935, 2020 [ BibTeX \| DiVA ]
[7]	A. Rudenko, T. P. Kucner, C. S. Swaminathan, R. T. Chadalavada, K. O. Arras and A. J. Lilienthal. 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]	Y. Zhu, H. Fan, A. Rudenko, M. Magnusson, E. Schaffernicht and A. Lilienthal. LaCE-LHMP : Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. In 2024 IEEE International Conference on Robotics and Automation (ICRA), pages 11281-11288, 2024 [ BibTeX \| DiVA \| PDF ]
[2]	T. Schreiter, L. Morillo-Mendez, R. T. Chadalavada, A. Rudenko, E. Billing, M. Magnusson, K. O. Arras and A. J. Lilienthal. Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) : Proceedings, pages 293-300, 2023 [ BibTeX \| DiVA ]
[3]	Y. Zhu, A. Rudenko, T. Kucner, L. Palmieri, K. Arras, A. Lilienthal and M. Magnusson. CLiFF-LHMP : Using Spatial Dynamics Patterns for Long-Term Human Motion Prediction. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 01-05 October 2023, Detroit, MI, USA, pages 3795-3802, 2023 [ BibTeX \| DiVA \| PDF ]
[4]	L. Heuer, L. Palmieri, A. Rudenko, A. Mannucci, M. Magnusson and K. O. Arras. Proactive Model Predictive Control with Multi-Modal Human Motion Prediction in Cluttered Dynamic Environments. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 01-05 October 2023, Detroit, MI, USA, pages 229-236, 2023 [ BibTeX \| DiVA ]
[5]	T. Almeida, A. Rudenko, T. Schreiter, Y. Zhu, E. Gutiérrez Maestro, L. Morillo-Mendez, T. P. Kucner, O. Martinez Mozos, M. Magnusson, L. Palmieri, K. O. Arras and A. Lilienthal. THÖR-Magni : Comparative Analysis of Deep Learning Models for Role-Conditioned Human Motion Prediction. In 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pages 2192-2201, 2023 [ BibTeX \| DiVA ]
[6]	A. Rudenko, L. Palmieri, W. Huang, A. J. Lilienthal and K. O. Arras. 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 ]
[7]	T. Schreiter, L. Morillo-Mendez, R. T. Chadalavada, A. Rudenko, E. A. Billing and A. J. Lilienthal. The Effect of Anthropomorphism on Trust in an Industrial Human-Robot Interaction. In SCRITA Workshop Proceedings (arXiv:2208.11090) 2022 [ BibTeX \| DiVA \| PDF ]
[8]	T. Schreiter, T. R. d. Almeida, Y. Zhu, E. Gutiérrez Maestro, L. Morillo-Mendez, A. Rudenko, T. P. Kucner, O. Martinez Mozos, M. Magnusson, L. Palmieri, K. O. Arras and A. Lilienthal. The Magni Human Motion Dataset : Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. 2022 [ BibTeX \| DiVA \| PDF ]
[9]	A. Rudenko, T. P. Kucner, C. S. Swaminathan, R. T. Chadalavada, K. O. Arras and A. Lilienthal. Benchmarking Human Motion Prediction Methods. 2020 [ BibTeX \| DiVA \| PDF ]
[10]	A. Rudenko, L. Palmieri, A. Lilienthal and K. O. Arras. 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]	A. Rudenko. 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.