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/...
Sähköposti
[email protected]
Puhelinnumero
+358505764427
Osaamisalueet
Robotics
Tutkimusryhmät
- Mobile Robotics
Julkaisut
Learning temporal maps of dynamics for mobile robots
Junyi Shi, Tomasz Piotr Kucner
2025
Robotics and Autonomous Systems
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
Engineering Applications of Artificial Intelligence
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
IEEE Robotics and Automation Letters
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
THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction
Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu, Eduardo Gutierrez Maestro, Lucas Morillo-Mendez, Andrey Rudenko, Luigi Palmieri, Tomasz P. Kucner, Martin Magnusson, Achim J. Lilienthal
2024
International Journal of Robotics Research
Bayesian Floor Field: Transferring people flow predictions across environments
Francesco Verdoja, Tomasz Kucner, Ville Kyrki
2024
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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 Motion 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