Domestic waste detection and grasping points for robotic picking up

no code implementations • 14 May 2021 • Victor De Gea, Santiago T. Puente, Pablo Gil

This paper presents an AI system applied to location and robotic grasping.

Robotic Grasping

TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors

1 code implementation • 18 Jan 2019 • Alberto Garcia-Garcia, Brayan Stiven Zapata-Impata, Sergio Orts-Escolano, Pablo Gil, Jose Garcia-Rodriguez

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.

Graph Neural Network

Non-Matrix Tactile Sensors: How Can Be Exploited Their Local Connectivity For Predicting Grasp Stability?

1 code implementation • 14 Sep 2018 • Brayan S. Zapata-Impata, Pablo Gil, Fernando Torres

In addition, we prove that they can be used for predicting grasp stability by training a Convolutional Neural Network (CNN) with them.