Education
Technische Universit ̈at Wien (TUWien)
Ph. D in Robotics, advised by Dongheui Lee.
Ph. D in Robotics, advised by Dongheui Lee.
Fall 2022 - Current
Wrocław University of Science and Technology
B.S and M.SC in Automation and Robotics, with specialization in Robotics.
B.S and M.SC in Automation and Robotics, with specialization in Robotics.
Fall 2017 - Spring 2022
Employment
TU Wien
PHD Candidate; Research in Robot Learning For Complex manipulation tasks.
PHD Candidate; Research in Robot Learning For Complex manipulation tasks.
Sep 2022 - Current
Vienna, Austria
Vienna, Austria
NeuroSYS
Researcher on the applications of deep learning and computer vision applications for industrial applications.
Researcher on the applications of deep learning and computer vision applications for industrial applications.
Jul 2020 - Jul 2022
Wrocław, Poland
Wrocław, Poland
Publications
M2R2: MultiModal Robotic Representation for Temporal Action Segmentation
We propose a multimodal robotic representation for temporal action segmentation in long-horizon manipulation tasks.
IEEE International Conference on Robotics & Automation (ICRA 2026)
ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation
We present an annotation tool designed for efficient labeling of long-horizon robotic action segmentation datasets.
IEEE International Conference on Advanced Robotics and Its Social Impact (ARSO 2026)
Constraint-Informed Temporal Action Segmentation
We propose constraint-informed temporal action segmentation leveraging robot kinematic and task constraints.
25th International Conference on Control, Automation and Systems (ICCAS 2025)
Multimodal Anomaly Detection with a Mixture-of-Experts
We propose a mixture-of-experts approach for multimodal anomaly detection in robotic manipulation tasks.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly
We release a multimodal dataset for long-horizon contact-rich assembly and disassembly tasks
Robotics: Science and Systems 2025 (RSS 2025)
Multimodal Transformer Models for Human Action Classification
We investigate how best to fuse multimodal information for the task of human action recognition.
RiTA 2024
ConditionNET: Learning Preconditions and Effects for Anomaly Detection and Recovery
Learn Preconditions and Effects of actions in a data-driven manner, and leverage the learned conditions for anomaly detection.
IEEE Robotics and Automation Letters
HOI4ABOT: Human-Object Interaction Anticipation for Assistive roBOTs
Detect and anticipate human-object interactions for intention reading, which facilitate robots to assist humans.
CoRL 2023