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Gökhan Solak

3 accepted papers

2025

Context-Aware Collaborative Pushing of Heavy Objects Using Skeleton-Based Intention Prediction

ICRA 2025

In physical human-robot interaction, force feedback has been the most common sensing modality to convey the human intention to the robot. It is widely used in admittance control to allow the human to direct the robot. However, it cannot be used in scenarios where direct force feedback is not availab

Cited by 3SourceScholar
2024

SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks

RA-L 2024

Reinforcement learning (RL) has emerged as a promising paradigm in complex and continuous robotic tasks, however, safe exploration has been one of the main challenges, especially in contact-rich manipulation tasks in unstructured environments. Focusing on this issue, we propose <bold xmlns:mml="http

Cited by 25SourceScholar