Andrey Rudenko

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] 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, 2021BibTeX | DiVA  ]
[2] 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, 2021BibTeX | DiVA  ]
[3] 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, 2020BibTeX | DiVA  ]
[4] 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, 2020BibTeX | DiVA  ]

Refereed Conference and Workshop Articles

[1] 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, 2023BibTeX | DiVA  ]
[2] 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, 2023BibTeX | DiVA  | PDF ]
[3] 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, 2023BibTeX | DiVA  ]
[4] 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, 2023BibTeX | DiVA  ]
[5] 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, 2022BibTeX | DiVA  ]
[6] 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) 2022BibTeX | DiVA  | PDF ]
[7] 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. 2022BibTeX | DiVA  | PDF ]
[8] A. Rudenko, T. P. Kucner, C. S. Swaminathan, R. T. Chadalavada, K. O. Arras and A. Lilienthal. Benchmarking Human Motion Prediction Methods. 2020BibTeX | DiVA  | PDF ]
[9] 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, 2018BibTeX | 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, 2021BibTeX | DiVA  | PDF ]

Find the complete BibTeX record here.

 
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