Abdullah Cihan Ak — accepted AI-conference papers

2023

Learning Failure Prevention Skills for Safe Robot Manipulation

Abdullah Cihan Ak, Eren Erdal Aksoy, Sanem Sariel

RA-L 2023

Robots are more capable of achieving manipulation tasks for everyday activities than before. However, the safety of manipulation skills that robots employ is still an open problem. Considering all possible failures during skill learning increases the complexity of the process and restrains learning

Cited by 9 Source ↗Scholar ↗

2021

FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection

Arda Inceoglu, Eren Erdal Aksoy, Abdullah Cihan Ak, Sanem Sariel

IROS 2021poster

We need robots more aware of the unintended outcomes of their actions for ensuring safety. This can be achieved by an onboard failure detection system to monitor and detect such cases. Onboard failure detection is challenging with a limited set of onboard sensor setup due to the limitations of sensi…

Cited by 29 Source ↗code ↗Scholar ↗