most citedSemantic State Estimation in Cloth Manipulation Tasks

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection

Tiago Cortinhal, Idriss Gouigah, Eren Erdal Aksoy

Although LiDAR sensors are crucial for autonomous systems due to providing precise depth information, they struggle with capturing fine object details, especially at a distance, du…

cs.CV2023

FIVA: Facial Image and Video Anonymization and Anonymization Defense

Felix Rosberg, Eren Erdal Aksoy, Cristofer Englund +1

In this paper, we present a new approach for facial anonymization in images and videos, abbreviated as FIVA. Our proposed method is able to maintain the same face anonymization con…

cs.RO2023

Multimodal Detection and Identification of Robot Manipulation Failures

Arda Inceoglu, Eren Erdal Aksoy, Sanem Sariel

An autonomous service robot should be able to interact with its environment safely and robustly without requiring human assistance. Unstructured environments are challenging for ro…

cs.RO2023

Learning Failure Prevention Skills for Safe Robot Manipulation

Abdullah Cihan Ak, Eren Erdal Aksoy, Sanem Sariel

Robots are more capable of achieving manipulation tasks for everyday activities than before. But the safety of manipulation skills that robots employ is still an open problem. Cons…

cs.RO20223 cited

Semantic State Estimation in Cloth Manipulation Tasks

Georgies Tzelepis, Eren Erdal Aksoy, Júlia Borràs +1

Understanding of deformable object manipulations such as textiles is a challenge due to the complexity and high dimensionality of the problem. Particularly, the lack of a generic r…