Tomasz Kucner

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/...

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