Esther Luna Colombini

Orcid: 0000-0003-0467-3133

According to our database1, Esther Luna Colombini authored at least 51 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Piagetian experiments to DevRobotics.
Cogn. Syst. Res., January, 2024

2023
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages.
CoRR, 2023

Incremental procedural and sensorimotor learning in cognitive humanoid robots.
CoRR, 2023

Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots.
CoRR, 2023

Can Semantic-based Filtering of Dynamic Objects improve Visual SLAM and Visual Odometry?
Proceedings of the Latin American Robotics Symposium, 2023

Controlling Tiltrotors Unmanned Aerial Vehicles (UAVs) with Deep Reinforcement Learning.
Proceedings of the Latin American Robotics Symposium, 2023

Towards Robust Visual Odometry Systems Against Camera Lens Failures.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

2022
Editorial Notes for Topical Collection on Robotica 2019.
J. Intell. Robotic Syst., 2022

#PraCegoVer: A Large Dataset for Image Captioning in Portuguese.
Data, 2022

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems.
CoRR, 2022

Attention, please! A survey of neural attention models in deep learning.
Artif. Intell. Rev., 2022

CST-Godot: Bridging the Gap Between Game Engines and Cognitive Agents.
Proceedings of the 21st Brazilian Symposium on Computer Games and Digital Entertainment, 2022

Memory-based Deep Reinforcement Learning for Humanoid Locomotion under Noisy Scenarios.
Proceedings of the Latin American Robotics Symposium, 2022

Effective Researcher Collaboration: A Taxonomy of Key Factors Impacting Knowledge Sharing.
Proceedings of the Knowledge Management in Organisations - 16th International Conference, 2022

CogToM-CST: An implementation of the Theory of Mind for the Cognitive Systems Toolkit.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Visualization Tools for Monitoring and Debugging a Cognitive Architecture using CST.
Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022

Should I disclose my dataset? Caveats between reproducibility and individual data rights.
Proceedings of the Natural Legal Language Processing Workshop, 2022

2021
LIFT-SLAM: A deep-learning feature-based monocular visual SLAM method.
Neurocomputing, 2021

Neural Attention Models in Deep Learning: Survey and Taxonomy.
CoRR, 2021

RAM-VO: Less is more in Visual Odometry.
CoRR, 2021

SoccerKicks: a Dataset of 3D dead ball kicks reference movements for humanoid robots.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Modeling Object's Affordances via Reward Functions.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

An Attentional Model for Earthquake Prediction Using Seismic Data.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

An Iowa Gambling Task-based experiment applied to robots: A Study on Long-term Decision Making.
Proceedings of the IEEE International Conference on Development and Learning, 2021

CIDEr-R: Robust Consensus-based Image Description Evaluation.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020
Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer.
Sensors, 2020

Introduction to the Robotica 2018 Special Issue.
J. Intell. Robotic Syst., 2020

Drone Reconfigurable Architecture (DRA): a Multipurpose Modular Architecture for Unmanned Aerial Vehicles (UAVs).
J. Intell. Robotic Syst., 2020

Using Soft Actor-Critic for Low-Level UAV Control.
CoRR, 2020

A Comparative Evaluation of Learned Feature Descriptors on Hybrid Monocular Visual SLAM Methods.
Proceedings of the Latin American Robotics Symposium, 2020

An Evolutionary Algorithm for Quadcopter Trajectory Optimization in Aerial Challenges.
Proceedings of the Latin American Robotics Symposium, 2020

Learning over the Attentional Space with Mobile Robots.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

2019
The RoCS Framework to Support the Development of Autonomous Robots.
J. Softw. Eng. Res. Dev., 2019

Parkinson's Disease EMG Signal Prediction Using Neural Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Multiclass Object and Depth Estimation Deep Model for Humanoids Robots in a Soccer Simulated Dataset.
Proceedings of the Latin American Robotics Symposium, 2019

The RoCS Framework to Support the Development of Autonomous Robots.
Proceedings of the XXII Iberoamerican Conference on Software Engineering, 2019

2018
Efficient Visual Saliency Detection with Deep Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Intelligent Control of a Quadrotor with Proximal Policy Optimization Reinforcement Learning.
Proceedings of the Latin American Robotic Symposium, 2018

A Novel Architecture for Multipurpose Reconfigurable Unmanned Aerial Vehicle (UAV): Concept, Design and Prototype Manufacturing.
Proceedings of the Latin American Robotic Symposium, 2018

Deep Reinforcement Learning in Robotics Logistic Task Coordination.
Proceedings of the Latin American Robotic Symposium, 2018

2017
CONAIM: A Conscious Attention-Based Integrated Model for Human-Like Robots.
IEEE Syst. J., 2017

An Attentional Model for Autonomous Mobile Robots.
IEEE Syst. J., 2017

2014
An attentional model for intelligent robotics agents.
PhD thesis, 2014

2013
Top-down and Bottom-up Feature Combination for Multi-sensor Attentive Robots.
CoRR, 2013

EEG Motor Imagery Classification of Upper Limb Movements.
Proceedings of the BIOSIGNALS 2013, 2013

2012
TORP: The Open Robot Project - A Framework for Module-Based Robots.
J. Intell. Robotic Syst., 2012

An attentive multi-sensor based system for mobile robotics.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2007
Module-based Autonomous Learning for Mobile Robots.
Proceedings of the Mobile Robots: The Evolutionary Approach, 2007

A Framework for Learning in Humanoid Simulated Robots.
Proceedings of the RoboCup 2007: Robot Soccer World Cup XI, 2007

Sparse Sampling Action Values Initialized by a Compact Representation Technique.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

2005
An Analysis of Feature-based and State-based Representations for Module-Based Learning in Mobile Robots.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005


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