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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

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Showing 2024Show all

5 papers · 1 filter

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…