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, 16(8):1879-1900, 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]	T. Schreiter, A. Rudenko, M. Magnusson and A. Lilienthal. Human Gaze and Head Rotation during Navigation, Exploration and Object Manipulation in Shared Environments with Robots. In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), pages 1258-1265, 2024 [ BibTeX \| DiVA ]
[2]	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 ]
[3]	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 ]
[4]	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 ]
[5]	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 ]
[6]	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 ]
[7]	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 ]
[8]	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 ]
[9]	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 ]
[10]	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 ]
[11]	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.