5 papers
CLUE-AI: A Convolutional Three-stream Anomaly Identification Framework for Robot Manipulation
Dogan Altan, Sanem Sariel
Robot safety has been a prominent research topic in recent years since robots are more involved in daily tasks. It is crucial to devise the required safety mechanisms to enable ser…
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction
Gamze Akyol, Sanem Sariel, Eren Erdal Aksoy
Despite decades of research, understanding human manipulation activities is, and has always been, one of the most attractive and challenging research topics in computer vision and…
Two-stage training algorithm for AI robot soccer
Taeyoung Kim, Luiz Felipe Vecchietti, Kyujin Choi +2
In multi-agent reinforcement learning, the cooperative learning behavior of agents is very important. In the field of heterogeneous multi-agent reinforcement learning, cooperative…
FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection
Arda Inceoglu, Eren Erdal Aksoy, Abdullah Cihan Ak +1
Safe manipulation in unstructured environments for service robots is a challenging problem. A failure detection system is needed to monitor and detect unintended outcomes. We propo…
What went wrong?: Identification of Everyday Object Manipulation Anomalies
Dogan Altan, Sanem Sariel
Extending the abilities of service robots is important for expanding what they can achieve in everyday manipulation tasks. On the other hand, it is also essential to ensure them to…