Background
Having completed my PhD studies, I joined Robert Bosch as a research scientist. I started my PhD research in Robert Bosch GmbH in March 2017 and joined the Örebro University Mobile Robotics and Olfaction Lab in January 2018. The topic of my research is prediction of human motion in social spaces for service robots. I received my M.Sc. in Computer Science at the Albert-Ludwigs-Universität Freiburg, Germany, working during the studies as a research assistant at the Social Robotics Laboratory. I received the B.Sc. degree in Applied Mathematics and Informatics in the Moscow National Research University Higher School of Economics.
Research Interests
The topic of my PhD research and the consequent interest is human motion prediction and predictive planning for service robots. To this end I study algorithms for long-term (10+ seconds) trajectory prediction in social and urban spaces. This includes e.g. MDP-based uncertainty- and map-aware trajectory forecasting and human-human interactions modelling under social grouping constraints.
Furthermore, I am interested in the general range of problems and solutions in the motion prediction settings, e.g. motion modelling for various types of agents, motion goal inference and intention recognition, semantics of the static and dynamic environment, human-aware robot task and motion planning, imitation and reinforcement learning. In a broader sense, my interests expand to human-robot interaction, human-oriented, collaborative and service robotics.
Publications
- Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments [pdf]
Rudenko A., Palmieri L., Doellinger J., Lilienthal A. J. and Arras K. O.; IEEE Robotics and Automation Letters, 2021 - Human Motion Trajectory Prediction: A Survey [pdf]
Rudenko A., Palmieri L., Herman M., Kitani K., Gavrila D. and Arras K. O.; The International Journal of Robotics Research, 2020 - THÖR: Human-Robot Navigation Data Collection and Accurate Motion Trajectories Dataset [pdf]
Rudenko A., Kucner T., Swaminathan C., Chadalavada R., Arras K. O. and Lilienthal A. J.; IEEE Robotics and Automation Letters, 2020 - Human Motion Prediction Under Social Grouping Constraints [pdf]
Rudenko A., Palmieri L., Lilienthal A. J. and Arras K. O.; IEEE International Conference on Intelligent Robots and Sytems (IROS), 2018 - Joint Long-Term Prediction of Human Motion Using a Planning-Based Social Force Approach [pdf]
Rudenko A., Palmieri L. and Arras K. O.; IEEE International Conference on Robotics and Automation (ICRA), 2018 - Predictive Planning for a Mobile Robot in Human Environments [pdf]
Rudenko A., Palmieri L. and Arras K. O.; Workshop on AI Planning and Robotics: Challenges and Methods, IEEE International Conference on Robotics and Automation (ICRA), 2017 - A Fast Random Walk Approach To Find Diverse Paths for Robot Navigation [link]
Palmieri L., Rudenko A. and Arras K. O.; IEEE Robotics and Automation Letters, 2017 - Errare Humanum Est: Erroneous Robots in Human-Robot Interaction [link]
Ragni M., Rudenko A., Kuhnert B. and Arras K. O.; IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2016 - A Fast Randomized Method to Find Homotopy Classes for Socially-Aware Navigation [pdf]
Palmieri L., Rudenko A. and Arras K. O.; Workshop on Assistance and Service Robotics in a Human Environment, IEEE International Conference on Intelligent Robots and Sytems (IROS), 2015