most citedTransferring human emotions to robot motions using Neural Policy Style Transfer

7 citations · 11 across the 3 of their papers we have counts for

collaborators

6 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.RO20244 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.RO20247 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.HC2021

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…