← Search

Virginia Ruiz Garate

5 accepted papers

2025

Comparison of Three Interface Approaches for Gaze Control of Assistive Robots for Individuals with Tetraplegia

ICRA 2025

Individuals with tetraplegia have their independence and quality of life severely affected. Assistive robotic arms can enhance their autonomy, but effective control interfaces are essential for optimizing their usability and performance. This study aims to evaluate the performance and user experienc

Cited by 1SourceScholar
2025

Diegetic Graphical User Interfaces for Robot Control via Eye-gaze

IROS 2025

Eye-gaze stands out as an intuitive interface for hands-free control of robotic devices due to its brief training time, fast calibration, low invasiveness, and reduced complexity and cost. However, current approaches are limited by available screen space, excessive wait times, frequent context switc

Cited by 1SourceScholar
2023

Task-Oriented Stiffness Setting for a Variable Stiffness Hand

ICRA 2023poster

The integration of variable stiffness actuators (VSA) in robotic systems endows them with intrinsic flexibility and therefore robustness to unknown disturbances. However, this characteristic presents a challenge: choosing the best intrinsic stiffness setting guaranteeing the required force ap-plicat…

Cited by 5SourceScholar
2020

A Probabilistic Shared-Control Framework for Mobile Robots

IROS 2020poster

Full teleoperation of mobile robots during the execution of complex tasks not only demands high cognitive and physical effort but also generates less optimal trajectories compared to autonomous controllers. However, the use of the latter in cluttered and dynamically varying environments is still an…

Cited by 6SourceScholar
2018

Grasp Stiffness Control in Robotic Hands Through Coordinated Optimization of Pose and Joint Stiffness

RA-L 2018

This letter presents a novel controller for robotic hands, which regulates the grasp stiffness by manipulating the pose and the finger joint stiffness of hands with multiple degrees of freedom while guaranteeing grasp stability. The proposed approach is inspired by the observations of human motor be

Cited by 22SourceScholar