172 citations · 340 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…