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

135 citations · 135 across the 4 of their papers we have counts for

collaborators

6 papers

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

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.HC2021135 cited

Extended Reality (XR) Remote Research: a Survey of Drawbacks and Opportunities

Jack Ratcliffe, Francesco Soave, Nick Bryan-Kinns +2

Extended Reality (XR) technology - such as virtual and augmented reality - is now widely used in Human Computer Interaction (HCI), social science and psychology experimentation. Ho…

physics.med-ph2019

The influence of posture, applied force and perturbation direction on hip joint viscoelasticity

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

Limb viscoelasticity is a critical factor used to regulate the interaction with the environment. It plays a key role in modelling human sensorimotor control, and can be used to ass…

cs.RO2019

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…