activity
20142026
most citedA Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments

53 citations · 94 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2026

ART-VS: Adaptive Resolution Tiling for Vision Transformer Visual Servoing

Alessandro Scherl, Bernhard Neuberger, Simon Schwaiger +3

Visual servoing with self-supervised Vision Transformer (ViT) features enables training-free robotic positioning with strong generalization, but faces a fundamental trade-off betwe…

cs.CV2023★ 2 cited

Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects

Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze +1

Object pose estimation is important for object manipulation and scene understanding. In order to improve the general applicability of pose estimators, recent research focuses on pr…

cs.CV2021

Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning

Luis Lucas, David Tomas, Jose Garcia-Rodriguez

One of the main issues related to unsupervised machine learning is the cost of processing and extracting useful information from large datasets. In this work, we propose a classifi…

cs.GR2019★ 53 cited

A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments

Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +3

Interaction in virtual reality (VR) environments is essential to achieve a pleasant and immersive experience. Most of the currently existing VR applications, lack of robust object…

cs.CV2019

The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions

Alberto Garcia-Garcia, Pablo Martinez-Gonzalez, Sergiu Oprea +4

Enter the RobotriX, an extremely photorealistic indoor dataset designed to enable the application of deep learning techniques to a wide variety of robotic vision problems. The Robo…

cs.LG2019

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…

cs.CV2017★ 39 cited

Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC

Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo +1

Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor locali…

cs.RO2014

An Educational Fuzzy-based Control platform using LEGO Robots

Daniel Zaldivar, Erik Cuevas, Marco A. Perez +3

Fuzzy controllers have gained popularity in the past few decades with successful implementations in many fields that have enabled designers to control complex systems through lingu…