Su Kyoung Kim — accepted AI-conference papers

2024

IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot Interaction

Kartik Chari, Niklas Kueper, Su Kyoung Kim, Frank Kirchner, Elsa Andrea Kirchner

IJCAI 2024poster

Reliable detection of human intentions from electroencephalogram (EEG) to improve human-robot interaction (HRI) has recently gained significant importance. To ensure safe and satisfactory interactions, implicit detection of erroneous behavior of robotic systems, particularly assistive devices, is es…

Cited by 0 Source ↗PDF ↗Scholar ↗

2020

Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications

Su Kyoung Kim, Elsa Andrea Kirchner, Frank Kirchner

ICRA 2020poster

Flexible adaptation of learning strategy depending on online changes of the user's current intents have a high relevance in human-robot collaboration. In our previous study, we proposed an intrinsic interactive reinforcement learning approach for human-robot interaction, in which a robot learns his/…

Cited by 15 Source ↗Scholar ↗