idil ozdamar
Cited by
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Detecting human motion intention during pHRI using artificial neural networks trained by EMG signals
D Sirintuna, I Ozdamar, Y Aydin, C Basdogan
2020 29th IEEE International Conference on Robot and Human Interactive …, 2020
Step-change in friction under electrovibration
I Ozdamar, MR Alipour, BP Delhaye, P Lefevre, C Basdogan
IEEE Transactions on Haptics 13 (1), 137-143, 2020
Tactile feedback displayed through touchscreens via electrovibration
İ Özdamar, MR Alipour, M Chehrehzad, Ç Başdoğan
2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020
Carrying the uncarriable: a deformation-agnostic and human-cooperative framework for unwieldy objects using multiple robots
D Sirintuna, I Ozdamar, A Ajoudani
arXiv preprint arXiv:2209.14009, 2022
A Shared Autonomy Reconfigurable Control Framework for Telemanipulation of Multi-arm Systems
I Ozdamar, M Laghi, G Grioli, A Ajoudani, MG Catalano, A Bicchi
IEEE Robotics and Automation Letters 7 (4), 9937-9944, 2022
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