5 papers
ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation
Sergej Stanovcic, Daniel Sliwowski, Dongheui Lee
Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning m…
M2R2: MultiModal Robotic Representation for Temporal Action Segmentation
Daniel Sliwowski, Dongheui Lee
Temporal action segmentation (TAS) has long been a key area of research in both robotics and computer vision. In robotics, algorithms have primarily focused on leveraging proprioce…
Multimodal Anomaly Detection with a Mixture-of-Experts
Christoph Willibald, Daniel Sliwowski, Dongheui Lee
With a growing number of robots being deployed across diverse applications, robust multimodal anomaly detection becomes increasingly important. In robotic manipulation, failures ty…
REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly
Daniel Sliwowski, Shail Jadav, Sergej Stanovcic +3
Robotic manipulation remains a core challenge in robotics, particularly for contact-rich tasks such as industrial assembly and disassembly. Existing datasets have significantly adv…
ConditionNET: Learning Preconditions and Effects for Execution Monitoring
Daniel Sliwowski, Dongheui Lee
The introduction of robots into everyday scenarios necessitates algorithms capable of monitoring the execution of tasks. In this paper, we propose ConditionNET, an approach for lea…