50 citations · 64 across the 12 of their papers we have counts for
14 papers
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…
A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation
Martín Gallegos, Francisco Leiva, Patricio Loncomilla +2
Impact hammers, also known as rock-breakers, are essential machines in mining operations, where they perform secondary reduction. In underground mining, these machines are typicall…
Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition
Pavan Samtani, Francisco Leiva, Javier Ruiz-del-Solar
This work proposes a scheme that allows learning complex multi-agent behaviors in a sample efficient manner, applied to 2v2 soccer. The problem is formulated as a Markov game, and…
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar +1
Deep Reinforcement Learning (DRL) has become a powerful methodology to solve complex decision-making problems. However, DRL has several limitations when used in real-world problems…
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…
Towards Long-Term Memory for Social Robots: Proposing a New Challenge for the RoboCup@Home League
Matías Pavez, Javier Ruiz del Solar, Victoria Amo +1
Long-term memory is essential to feel like a continuous being, and to be able to interact/communicate coherently. Social robots need long-term memories in order to establish long-t…
Visual SLAM-based Localization and Navigation for Service Robots: The Pepper Case
Cristopher Gómez, Matías Mattamala, Tim Resink +1
We propose a Visual-SLAM based localization and navigation system for service robots. Our system is built on top of the ORB-SLAM monocular system but extended by the inclusion of w…
Near Real-Time Object Recognition for Pepper based on Deep Neural Networks Running on a Backpack
Esteban Reyes, Cristopher Gómez, Esteban Norambuena +1
The main goal of the paper is to provide Pepper with a near real-time object recognition system based on deep neural networks. The proposed system is based on YOLO (You Only Look O…
Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks
Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar +1
Deep Reinforcement Learning (DRL) has become a powerful strategy to solve complex decision making problems based on Deep Neural Networks (DNNs). However, it is highly data demandin…
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…
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…
The NAO Backpack: An Open-hardware Add-on for Fast Software Development with the NAO Robot
Matías Mattamala, Gonzalo Olave, Clayder González +2
We present an open-source accessory for the NAO robot, which enables to test computationally demanding algorithms in an external platform while preserving robot's autonomy and mobi…
Toward Real-Time Decentralized Reinforcement Learning using Finite Support Basis Functions
Kenzo Lobos-Tsunekawa, David L. Leottau, Javier Ruiz-del-Solar
This paper addresses the design and implementation of complex Reinforcement Learning (RL) behaviors where multi-dimensional action spaces are involved, as well as the need to execu…
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…