Tomasz Kucner
Assistant Professor
Department of Electrical Engineering and Automation
Mobile Robotics
My research objective is to enable autonomous intelligent systems to efficiently and safely operate in the noisy and dynamic reality of shared human-robot environments. My conviction is that to achieve this goal it is essential to enable robots to acquire high-level knowledge through implicit ques of daily human behaviour and through enabling robots to continuously self assess and evaluate the quality of the said models.
Full researcher profile
https://research.aalto.fi/...
Email
tomasz.kucner@aalto.fi
Phone number
+358505764427
Areas of expertise
Robotics
Research groups
- Mobile Robotics
Publications
A Lightweight Crowd Model for Robot Social Navigation
Maryam Kazemi Eskeri, Thomas Wiedemann, Ville Kyrki, Dominik Baumann, Tomasz Piotr Kucner
2025
2025 European Conference on Mobile Robots, ECMR 2025 - Proceedings
Efficient Human-Aware Task Allocation for Multi-Robot Systems in Shared Environments
Maryam Kazemi Eskeri, Ville Kyrki, Dominik Baumann, Tomasz Kucner
2025
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving
Kalle Kujanpää, Daulet Baimukashev, Farzeen Munir, Shoaib Azam, Tomasz Piotr Kucner, Joni Pajarinen, Ville Kyrki
2025
2025 IEEE International Conference on Robotics and Automation, ICRA 2025
Context-aware multi-task learning for pedestrian intent and trajectory prediction
Farzeen Munir, Tomasz Piotr Kucner
2025
Transportation Research Part C: Emerging Technologies
Pedestrian Vision Language Model for Intentions Prediction
Farzeen Munir, Shoaib Azam, Tsvetomila Mihaylova, Ville Kyrki, Tomasz Piotr Kucner
2025
IEEE Open Journal of Intelligent Transportation Systems
Learning temporal maps of dynamics for mobile robots
Junyi Shi, Tomasz Piotr Kucner
2025
Robotics and Autonomous Systems
Leveraging Maps of Spatial Motion Patterns to Enhance Long-Term Adaptive Trajectory Prediction with Diffusion Models
Junyi Shi, Tomasz Piotr Kucner
2025
2025 European Conference on Mobile Robots, ECMR 2025 - Proceedings
Sampling functions for global motion planning using Maps of Dynamics for mobile robots
Chittaranjan Srinivas Swaminathan, Tomasz P. Kucner, Achim J. Lilienthal, Martin Magnusson
2025
Robotics and Autonomous Systems
STeF-LSTM: A Hybrid Framework Integrating Periodic and Sequential Modeling for Mapping Motion Patterns
Zhibin Yan, Junyi Shi, Tomasz Piotr Kucner
2025
2025 European Conference on Mobile Robots, ECMR 2025 - Proceedings
Long-Term Human Motion Prediction Using Spatio-Temporal Maps of Dynamics
Yufei Zhu, Andrey Rudenko, Tomasz P. Kucner, Achim J. Lilienthal, Martin Magnusson
2025
IEEE Robotics and Automation Letters