activity
20112024
most citedCutaneous Force Feedback as a Sensory Subtraction Technique in Haptics

172 citations · 340 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2024

Evaluation of Human-Robot Interfaces based on 2D/3D Visual and Haptic Feedback for Aerial Manipulation

Julien Mellet, Mike Allenspach, Eugenio Cuniato +3

Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment…

cs.MA2024

Multi-UAVs end-to-end Distributed Trajectory Generation over Point Cloud Data

Antonio Marino, Claudio Pacchierotti, Paolo Robuffo Giordano

This paper introduces an end-to-end trajectory planning algorithm tailored for multi-UAV systems that generates collision-free trajectories in environments populated with both stat…

cs.MA2024

Liquid-Graph Time-Constant Network for Multi-Agent Systems Control

Antonio Marino, Claudio Pacchierotti, Paolo Robuffo Giordano

In this paper, we propose the Liquid-Graph Time-constant (LGTC) network, a continuous graph neural network(GNN) model for control of multi-agent systems based on therecent Liquid T…

cs.RO2024★ 4 cited

Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators

Raul Fernandez-Fernandez, Marco Aggravi, Paolo Robuffo Giordano +2

Neural Style Transfer (NST) refers to a class of algorithms able to manipulate an element, most often images, to adopt the appearance or style of another one. Each element is defin…

cs.RO2024★ 7 cited

Transferring human emotions to robot motions using Neural Policy Style Transfer

Raul Fernandez-Fernandez, Bartek Łukawski, Juan G. Victores +1

Neural Style Transfer (NST) was originally proposed to use feature extraction capabilities of Neural Networks as a way to perform Style Transfer with images. Pre-trained image clas…

cs.RO2023★ 7 cited

Input State Stability of Gated Graph Neural Networks

Antonio Marino, Claudio Pacchierotti, Paolo Robuffo Giordano

In this paper, we aim to find the conditions for input-state stability (ISS) and incremental input-state stability (ISS) of Gated Graph Neural Networks (GGNNs). We show that thi…

cs.HC2022★ 40 cited

Action-Specific Perception & Performance on a Fitts's Law Task in Virtual Reality: The Role of Haptic Feedback

Panagiotis Kourtesis, Sebastian Vizcay, Maud Marchal +2

While user's perception & performance are predominantly examined independently in virtual reality, the Action-Specific Perception (ASP) theory postulates that the performance of an…

cs.HC2021★ 107 cited

Electrotactile feedback applications for hand and arm interactions: A systematic review, meta-analysis, and future directions

Panagiotis Kourtesis, Ferran Argelaguet, Sebastian Vizcay +2

Haptic feedback is critical in a broad range of human-machine/computer-interaction applications. However, the high cost and low portability/wearability of haptic devices remain unr…

cs.HC2021★ 3 cited

Electrotactile Feedback For Enhancing Contact Information in Virtual Reality

Sebastian Vizcay, Panagiotis Kourtesis, Ferran Argelaguet +2

This paper presents a wearable electrotactile feedback system to enhance contact information for mid-air interactions with virtual objects. In particular, we propose the use of ele…

cs.RO2011★ 172 cited

Cutaneous Force Feedback as a Sensory Subtraction Technique in Haptics

Domenico Prattichizzo, Claudio Pacchierotti, Giulio Rosati

A novel sensory substitution technique is presented. Kinesthetic and cutaneous force feedback are substituted by cutaneous feedback (CF) only, provided by two wearable devices able…