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Idil Ozdamar

5 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

Pushing in the Dark: A Reactive Pushing Strategy for Mobile Robots Using Tactile Feedback

RA-L 2024

For mobile robots, navigating cluttered or dynamic environments often necessitates non-prehensile manipulation, particularly when faced with objects that are too large, irregular, or fragile to grasp. The unpredictable behavior and varying physical properties of these objects significantly complicat

Cited by 10SourceScholar
2024

Robot-Assisted Navigation for Visually Impaired through Adaptive Impedance and Path Planning

ICRA 2024poster

This paper presents a framework to navigate visually impaired people through unfamiliar environments by means of a mobile manipulator. The Human-Robot system consists of three key components: a mobile base, a robotic arm, and the human subject who gets guided by the robotic arm via physically coupli…

Cited by 6SourceScholar
2023

Carrying the uncarriable: a deformation-agnostic and human-cooperative framework for unwieldy objects using multiple robots

ICRA 2023poster

This manuscript introduces an object deformability-agnostic framework for co-carrying tasks that are shared between a person and multiple robots. Our approach allows the full control of the co-carrying trajectories by the person while sharing the load with multiple robots depending on the size and t…

Cited by 21SourceScholar
2022

A Shared Autonomy Reconfigurable Control Framework for Telemanipulation of Multi-Arm Systems

RA-L 2022

Teleoperation is a widely adopted strategy to control robotic manipulators executing complex tasks that require highly dexterous movements and critical high-level intelligence. Classical teleoperation schemes are based on either joystick control, or on more intuitive interfaces which map directly th

Cited by 15SourceScholar