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20172026
most citedA Survey on Deep Learning Methods for Robot Vision

50 citations · 64 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Moving6DPoSe: A Multimodal Database for Monocular 6D Pose Estimation and Segmentation of Moving Objects

Ignacio Bugueno-Cordova, Javier Ruiz-del-Solar, Rodrigo Verschae

Estimating the 6D pose of moving objects remains challenging due to motion blur and the limited temporal resolution of conventional frame-based cameras. Existing event-based datase…

cs.CV2018

Playing Soccer without Colors in the SPL: A Convolutional Neural Network Approach

Francisco Leiva, Nicolás Cruz, Ignacio Bugueño +1

The goal of this paper is to propose a vision system for humanoid robotic soccer that does not use any color information. The main features of this system are: (i) real-time operat…

cs.CV2018★ 50 cited

A Survey on Deep Learning Methods for Robot Vision

Javier Ruiz-del-Solar, Patricio Loncomilla, Naiomi Soto

Deep learning has allowed a paradigm shift in pattern recognition, from using hand-crafted features together with statistical classifiers to using general-purpose learning procedur…

cs.CV2017★ 1 cited

Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots while Playing Soccer

Nicolás Cruz, Kenzo Lobos-Tsunekawa, Javier Ruiz-del-Solar

The main goal of this paper is to analyze the general problem of using Convolutional Neural Networks (CNNs) in robots with limited computational capabilities, and to propose genera…

cs.CV2017

Recognition of Grasp Points for Clothes Manipulation under unconstrained Conditions

Luz María Martínez, Javier Ruiz-del-Solar

In this work a system for recognizing grasp points in RGB-D images is proposed. This system is intended to be used by a domestic robot when deploying clothes lying at a random posi…