1 citations · 1 across the 5 of their papers we have counts for
11 papers
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…
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…