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/...
Telefonnummer
+358505764427

Kompetensområde

Robotics

Forskningsgrupp

  • Mobile Robotics

Publikationer

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