Basak Güleçyüz — accepted AI-conference papers

2025

Enhancing Shared Autonomy in Teleoperation Under Network Delay: Transparency- and Confidence-Aware Arbitration

Basak Güleçyüz, Ribin Balachandran, Michael Panzirsch, Harsimran Singh, Thomas Hulin, Xiao Xu +1

RA-L 2025

Shared autonomy bridges human expertise with machine intelligence, yet existing approaches often overlook the impact of teleoperation delays. To address this gap, we propose a novel shared autonomy approach that enables robots to gradually learn from teleoperated demonstrations while adapting to net

Cited by 0 Source ↗Scholar ↗

2023

NetLfD: Network-Aware Learning From Demonstration for In-Contact Skills via Teleoperation

Basak Güleçyüz, Vincent von Büren, Xiao Xu, Eckehard G. Steinbach

RA-L 2023

When providing task demonstrations to a remote robot over the network via bilateral teleoperation, communication impairments are unavoidable, hindering the human operator from delivering high-quality demonstrations. Poor-quality demonstrations can negatively impact the robot's ability to learn and g

Cited by 6 Source ↗Scholar ↗