activity
20192024
most citedExtended Reality (XR) Remote Research: a Survey of Drawbacks and Opportunities

135 citations · 137 across the 8 of their papers we have counts for

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Showing cs.ROShow all

6 papers · 1 filter

cs.RO2024

Leveraging Tactile Sensing to Render both Haptic Feedback and Virtual Reality 3D Object Reconstruction in Robotic Telemanipulation

Gabriele Giudici, Aramis Augusto Bonzini, Claudio Coppola +3

Dexterous robotic manipulator teleoperation is widely used in many applications, either where it is convenient to keep the human inside the control loop, or to train advanced robot…

cs.RO2024

Haptic Stiffness Perception Using Hand Exoskeletons in Tactile Robotic Telemanipulation

Gabriele Giudici, Claudio Coppola, Kaspar Althoefer +2

Robotic telemanipulation - the human-guided manipulation of remote objects - plays a pivotal role in several applications, from healthcare to operations in harsh environments. Whil…

cs.RO2024

A User Study Method on Healthy Participants for Assessing an Assistive Wearable Robot Utilising EMG Sensing

Cem Suulker, Alexander Greenway, Sophie Skach +3

Hand-wearable robots, specifically exoskeletons, are designed to aid hands in daily activities, playing a crucial role in post-stroke rehabilitation and assisting the elderly. Our…

cs.RO2024

DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks

Xiaofeng Mao, Gabriele Giudici, Claudio Coppola +4

Effective execution of long-horizon tasks with dexterous robotic hands remains a significant challenge in real-world problems. While learning from human demonstrations have shown e…

cs.RO2023★ 1 cited

Robotic surface exploration with vision and tactile sensing for cracks detection and characterisation

Francesca Palermo, Bukeikhan Omarali, Changae Oh +2

This paper presents a novel algorithm for crack localisation and detection based on visual and tactile analysis via fibre-optics. A finger-shaped sensor based on fibre-optics is em…

cs.RO2019★ 1 cited

Cable-driven robotic interface for lower limb neuromechanics identification

Hsien-Yung Huang, Ildar Farkhatdinov, Arash Arami +2

This paper presents a versatile cable-driven robotic interface to investigate the single-joint joint neuromechanics of the hip, knee and ankle. This endpoint-based interface offers…