14 citations · 20 across the 3 of their papers we have counts for
3 papers
Domestic waste detection and grasping points for robotic picking up
Victor De Gea, Santiago T. Puente, Pablo Gil
This paper presents an AI system applied to location and robotic grasping. Experimental setup is based on a parameter study to train a deep-learning network based on Mask-RCNN to p…
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
Alberto Garcia-Garcia, Brayan Stiven Zapata-Impata, Sergio Orts-Escolano +2
Tactile sensors provide useful contact data during the interaction with an object which can be used to accurately learn to determine the stability of a grasp. Most of the works in…
Non-Matrix Tactile Sensors: How Can Be Exploited Their Local Connectivity For Predicting Grasp Stability?
Brayan S. Zapata-Impata, Pablo Gil, Fernando Torres
Tactile sensors supply useful information during the interaction with an object that can be used for assessing the stability of a grasp. Most of the previous works on this topic pr…