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
Phone number

Areas of expertise


Research groups

  • Mobile Robotics


A 3D Terrain Generator: Enhancing Robotics Simulations with GANs

Silvia Arellano, Beatriz Otero, Tomasz Piotr Kucner, Ramon Canal 2024 Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023

Exploring Contextual Representation and Multi-modality for End-to-end Autonomous Driving

Shoaib Azam, Farzeen Munir, Ville Kyrki, Tomasz Piotr Kucner, Moongu Jeon, Witold Pedrycz 2024

Trajectory Prediction for Heterogeneous Agents A Performance Analysis on Small and Imbalanced Datasets

Tiago Rodrigues de Almeida, Yufei Zhu, Andrey Rudenko, Tomasz P. Kucner, Johannes A. Stork, Martin Magnusson, Achim J. Lilienthal 2024

Exploring Large Language Models for Trajectory Prediction: A Technical Perspective

Farzeen Munir, Tsvetomila Mihaylova, Shoaib Azam, Tomasz Piotr Kucner, Ville Kyrki 2024 HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction

Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks

Farzeen Munir, Shoaib Azam, Tomasz Kucner, Ville Kyrki, Moongu Jeon 2024 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023

Using occupancy priors to generalize people flow predictions

Francesco Verdoja, Tomasz Kucner, Ville Kyrki 2024 Long-term Human Motion Prediction Workshop

THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-conditioned Human Mtion Prediction

Tiago Rodrigues De Almeida, Andrey Rudenko, Tim Schreiter, Yufei Zhu, Eduardo Gutierrez Maestro, Lucas Morillo-Mendez, Tomasz P. Kucner, Oscar Martinez Mozos, Martin Magnusson, Luigi Palmieri, Kai O. Arras, Achim J. Lilienthal 2023 Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023

Survey of maps of dynamics for mobile robots

Tomasz Piotr Kucner, Martin Magnusson, Sariah Mghames, Luigi Palmieri, Francesco Verdoja, Chittaranjan Srinivas Swaminathan, Tomáš Krajník, Erik Schaffernicht, Nicola Bellotto, Marc Hanheide, Achim J Lilienthal 2023

The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots

Sergi Molina, Anna Mannucci, Martin Magnusson, Daniel Adolfsson, Henrik Andreasson, Mazin Hamad, Saeed Abdolshah, Ravi Teja Chadalavada, Luigi Palmieri, Timm Linder, Chittaranjan Srinivas Swaminathan, Tomasz Piotr Kucner, Marc Hanheide, Manuel Fernandez-Carmona, Grzegorz Cielniak, Tom Duckett, Federico Pecora, Simon Bokesand, Kai O. Arras, Sami Haddadin, Achim J. Lilienthal 2023

The Magni Human Motion Dataset : Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized

Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu, Eduardo Gutiérrez Maestro, Lucas Morillo-Mendez, Andrey Rudenko, Tomasz P. Kucner, Oscar Martinez Mozos, Martin Magnusson, Luigi Palmieri, Kai O. Arras, Achim Lilienthal 2023 31st IEEE International Conference on Robot & Human Interactive Communication