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ORCIDEsther Luna Colombini
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2020 – today
- 2024
[j14]Letícia M. Berto
, Leonardo Rossi, Eric Rohmer, Paula D. P. Costa, Ricardo R. Gudwin, Alexandre da Silva Simões, Esther Colombini:
Piagetian experiments to DevRobotics. Cogn. Syst. Res. 83: 101170 (2024)- [j13]Letícia M. Berto, Paula D. P. Costa, Alexandre da Silva Simões, Ricardo R. Gudwin, Esther Colombini:
A motivational-based learning model for mobile robots. Cogn. Syst. Res. 88: 101278 (2024) - [j12]Rafael Figueiredo Prudencio, Marcos Ricardo Omena Albuquerque Máximo, Esther Luna Colombini:
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10237-10257 (2024) - [c32]Raysa M. Benatti, Fabiana C. Severi, Sandra Avila, Esther Luna Colombini:
Gender Bias Detection in Court Decisions: A Brazilian Case Study. FAccT 2024: 746-763 - [c31]Leonardo de L. Rossi, Letícia M. Berto, Paula D. P. Costa, Ricardo R. Gudwin, Esther Colombini, Alexandre da Silva Simões:
Drives and Impulses: Shaping Motivation and Procedural Learning for Humanoid Robots. ICDL 2024: 1-8 - [c30]Hudson Martins Silva Bruno, Kleber M. Cabral, Esther Luna Colombini, Sidney N. Givigi:
A comparison of deep learning-based visual odometry algorithms in challenging scenarios. SysCon 2024: 1-8 - [i15]Raysa M. Benatti, Fabiana C. Severi, Sandra Avila, Esther Luna Colombini:
Gender Bias Detection in Court Decisions: A Brazilian Case Study. CoRR abs/2406.00393 (2024) - 2023
- [c29]Lorenzo Sarti, Hudson Martins Silva Bruno, Tommaso Puccetti, Esther Colombini, Andrea Ceccarelli:
Towards Robust Visual Odometry Systems Against Camera Lens Failures. ISSREW 2023: 164-165 - [c28]Aline Gabriel de Almeida, Esther Luna Colombini, Alexandre da Silva Simões:
Controlling Tiltrotors Unmanned Aerial Vehicles (UAVs) with Deep Reinforcement Learning. LARS/SBR/WRE 2023: 107-112 - [c27]Leonardo Rezende Costa, Esther Luna Colombini:
Can Semantic-based Filtering of Dynamic Objects improve Visual SLAM and Visual Odometry? LARS/SBR/WRE 2023: 567-572 - [i14]Letícia M. Berto, Paula Dornhofer Paro Costa, Alexandre da Silva Simões, Ricardo R. Gudwin, Esther Colombini:
Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots. CoRR abs/2302.09759 (2023) - [i13]Leonardo de Lellis Rossi, Letícia Mara Berto, Eric Rohmer, Paula Dornhofer Paro Costa, Ricardo Ribeiro Gudwin, Esther Luna Colombini, Alexandre da Silva Simões:
Incremental procedural and sensorimotor learning in cognitive humanoid robots. CoRR abs/2305.00597 (2023) - [i12]Gabriel Oliveira dos Santos, Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva, Luiz Pereira, Pedro Bueno, Thiago Sousa, Helena Almeida Maia, Nádia Félix F. da Silva, Esther Colombini, Hélio Pedrini, Sandra Avila:
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages. CoRR abs/2310.13683 (2023) - 2022
- [j11]Alana de Santana Correia, Esther Luna Colombini:
Attention, please! A survey of neural attention models in deep learning. Artif. Intell. Rev. 55(8): 6037-6124 (2022) - [j10]Gabriel Oliveira dos Santos, Esther Luna Colombini, Sandra Avila:
#PraCegoVer: A Large Dataset for Image Captioning in Portuguese. Data 7(2): 13 (2022) - [j9]Esther Luna Colombini, Paulo L. J. Drews-Jr, Luiz M. G. Gonçalves:
Editorial Notes for Topical Collection on Robotica 2019. J. Intell. Robotic Syst. 104(2): 38 (2022) - [c26]Raysa M. Benatti, Camila M. L. Villarroel, Sandra Avila, Esther Luna Colombini, Fabiana C. Severi:
Should I disclose my dataset? Caveats between reproducibility and individual data rights. NLLP@EMNLP 2022: 228-237 - [c25]Áureo Marques, Luiz F. S. Coletta, Anderson Anjos da Silva, André Luis Ogando Paraense, Letícia M. Berto, Paula Dornhofer Paro Costa, Esther Colombini, Alexandre da Silva Simões, Ricardo R. Gudwin:
Visualization Tools for Monitoring and Debugging a Cognitive Architecture using CST. BICA*AI 2022: 528-535 - [c24]Fabio Grassiotto, Esther Luna Colombini, Alexandre da Silva Simões, Ricardo R. Gudwin, Paula Dornhofer Paro Costa:
CogToM-CST: An implementation of the Theory of Mind for the Cognitive Systems Toolkit. ICAART (3) 2022: 462-469 - [c23]Hanlie Smuts, Vladimir Sudakov, Esther Luna Colombini:
Effective Researcher Collaboration: A Taxonomy of Key Factors Impacting Knowledge Sharing. KMO 2022: 65-76 - [c22]Samuel Chenatti, Esther Luna Colombini:
Memory-based Deep Reinforcement Learning for Humanoid Locomotion under Noisy Scenarios. LARS/SBR/WRE 2022: 205-210 - [c21]Gustavo Morais, Ian Loron, Luiz F. S. Coletta, Anderson Anjos da Silva, Alexandre da Silva Simões, Ricardo R. Gudwin, Paula Dornhofer Paro Costa, Esther Colombini:
CST-Godot: Bridging the Gap Between Game Engines and Cognitive Agents. SBGAMES 2022: 1-6 - [i11]Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini:
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems. CoRR abs/2203.01387 (2022) - [i10]Raysa M. Benatti, Camila M. L. Villarroel, Sandra Avila, Esther Luna Colombini, Fabiana C. Severi:
Should I disclose my dataset? Caveats between reproducibility and individual data rights. CoRR abs/2211.00498 (2022) - 2021
- [j8]Hudson Martins Silva Bruno, Esther Luna Colombini:
LIFT-SLAM: A deep-learning feature-based monocular visual SLAM method. Neurocomputing 455: 97-110 (2021) - [c20]Gabriel Oliveira dos Santos, Esther Luna Colombini, Sandra Avila:
CIDEr-R: Robust Consensus-based Image Description Evaluation. W-NUT 2021: 351-360 - [c19]Letícia M. Berto, Paula D. P. Costa, Alexandre da Silva Simões, Ricardo R. Gudwin, Esther Luna Colombini:
An Iowa Gambling Task-based experiment applied to robots: A Study on Long-term Decision Making. ICDL 2021: 1-6 - [c18]Alana de Santana Correia, Iury Cleveston, Viviane Bonadia dos Santos, Sandra Avila, Esther Luna Colombini:
An Attentional Model for Earthquake Prediction Using Seismic Data. PAAMS (Workshops) 2021: 53-64 - [c17]Renan Lima Baima, Esther Luna Colombini:
Modeling Object's Affordances via Reward Functions. SMC 2021: 2183-2190 - [c16]Nayari Marie Lessa, Esther Luna Colombini, Alexandre da Silva Simões:
SoccerKicks: a Dataset of 3D dead ball kicks reference movements for humanoid robots. SMC 2021: 3472-3478 - [i9]Gabriel Oliveira dos Santos, Esther Luna Colombini, Sandra Avila:
#PraCegoVer: A Large Dataset for Image Captioning in Portuguese. CoRR abs/2103.11474 (2021) - [i8]Alana de Santana Correia, Esther Luna Colombini:
Attention, please! A survey of Neural Attention Models in Deep Learning. CoRR abs/2103.16775 (2021) - [i7]Hudson Martins Silva Bruno, Esther Luna Colombini:
A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods. CoRR abs/2104.00085 (2021) - [i6]Hudson Martins Silva Bruno, Esther Luna Colombini:
LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method. CoRR abs/2104.00099 (2021) - [i5]Iury Cleveston, Esther Luna Colombini:
RAM-VO: Less is more in Visual Odometry. CoRR abs/2107.02974 (2021) - [i4]Gabriel Oliveira dos Santos, Esther Luna Colombini, Sandra Avila:
CIDEr-R: Robust Consensus-based Image Description Evaluation. CoRR abs/2109.13701 (2021) - [i3]Alana de Santana Correia, Esther Colombini:
Neural Attention Models in Deep Learning: Survey and Taxonomy. CoRR abs/2112.05909 (2021) - 2020
- [j7]Tiago P. Nascimento, Alisson V. Brito, Esther Luna Colombini, Luiz Marcos Garcia Gonçalves:
Introduction to the Robotica 2018 Special Issue. J. Intell. Robotic Syst. 99(3): 429-430 (2020) - [j6]Murillo Augusto da Silva Ferreira, Maria Fernanda Tejada Begazo, Guilherme Cano Lopes, Alexandre Felipe de Oliveira, Esther Luna Colombini, Alexandre da Silva Simões:
Drone Reconfigurable Architecture (DRA): a Multipurpose Modular Architecture for Unmanned Aerial Vehicles (UAVs). J. Intell. Robotic Syst. 99(3): 517-534 (2020) - [j5]Rafael Anicet Zanini, Esther Luna Colombini:
Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer. Sensors 20(9): 2605 (2020) - [c15]Letícia M. Berto, Leonardo de L. Rossi, Eric Rohmer, Paula D. P. Costa, Alexandre da Silva Simões, Ricardo R. Gudwin, Esther Luna Colombini:
Learning over the Attentional Space with Mobile Robots. ICDL-EPIROB 2020: 1-7 - [c14]Adson Nogueira Alves, Murillo Augusto da Silva Ferreira, Esther Luna Colombini, Alexandre da Silva Simões:
An Evolutionary Algorithm for Quadcopter Trajectory Optimization in Aerial Challenges. LARS/SBR/WRE 2020: 1-6 - [c13]Hudson Martins Silva Bruno, Esther Luna Colombini:
A Comparative Evaluation of Learned Feature Descriptors on Hybrid Monocular Visual SLAM Methods. LARS/SBR/WRE 2020: 1-6 - [i2]Gabriel Moraes Barros, Esther Luna Colombini:
Using Soft Actor-Critic for Low-Level UAV Control. CoRR abs/2010.02293 (2020)
2010 – 2019
- 2019
- [j4]Leonardo Ramos, Gabriel Lisbôa Guimarães Divino, Guilherme Cano Lopes, Breno Bernard Nicolau de França, Leonardo Montecchi, Esther Luna Colombini:
The RoCS Framework to Support the Development of Autonomous Robots. J. Softw. Eng. Res. Dev. 7: 10 (2019) - [c12]Leonardo Ramos, Gabriel Divino, Breno de França, Leonardo Montecchi, Esther Colombini:
The RoCS Framework to Support the Development of Autonomous Robots. CIbSE 2019: 251-264 - [c11]Gabriel Previato, Esther Luna Colombini:
A Multiclass Object and Depth Estimation Deep Model for Humanoids Robots in a Soccer Simulated Dataset. LARS/SBR/WRE 2019: 31-36 - [c10]Rafael Anicet Zanini, Esther Luna Colombini, Maria Cláudia Ferrari de Castro:
Parkinson's Disease EMG Signal Prediction Using Neural Networks. SMC 2019: 2446-2453 - 2018
- [c9]Samuel Chenatti, Gabriel Previato, Guilherme Cano Lopes, Rafael Figueiredo Prudencio, Guilherme Leite, Thales Oliveira, Guilherme Abreu, Wallace Pereira, Guilherme Correa, Victor Soerensen Braga, Esther Colombini:
Deep Reinforcement Learning in Robotics Logistic Task Coordination. LARS/SBR/WRE 2018: 326-332 - [c8]Murillo Augusto da Silva Ferreira, Guilherme Cano Lopes, Esther Luna Colombini, Alexandre da Silva Simães:
A Novel Architecture for Multipurpose Reconfigurable Unmanned Aerial Vehicle (UAV): Concept, Design and Prototype Manufacturing. LARS/SBR/WRE 2018: 443-450 - [c7]Guilherme Cano Lopes, Murillo Augusto da Silva Ferreira, Alexandre da Silva Simões, Esther Luna Colombini:
Intelligent Control of a Quadrotor with Proximal Policy Optimization Reinforcement Learning. LARS/SBR/WRE 2018: 503-508 - [c6]Erik Perillo, Esther Colombini:
Efficient Visual Saliency Detection with Deep Learning. SMC 2018: 1676-1680 - 2017
- [j3]Alexandre da Silva Simões, Esther Luna Colombini, Carlos Henrique Costa Ribeiro:
CONAIM: A Conscious Attention-Based Integrated Model for Human-Like Robots. IEEE Syst. J. 11(3): 1296-1307 (2017) - [j2]Esther Luna Colombini, Alexandre da Silva Simões, Carlos Henrique Costa Ribeiro:
An Attentional Model for Autonomous Mobile Robots. IEEE Syst. J. 11(3): 1308-1319 (2017) - 2014
- [b1]Esther Luna Colombini:
An attentional model for intelligent robotics agents. Instituto Tecnológico de Aeronáutica, São José dos Campos, Brazil, 2014 - 2013
- [c5]Maria Cláudia Ferrari de Castro, João Pedro de O. P. Galhianne, Esther Luna Colombini:
EEG Motor Imagery Classification of Upper Limb Movements. BIOSIGNALS 2013: 314-317 - [i1]Esther Luna Colombini, Alexandre da Silva Simões, Carlos H. C. Ribeiro:
Top-down and Bottom-up Feature Combination for Multi-sensor Attentive Robots. CoRR abs/1307.5720 (2013) - 2012
- [j1]Alexandre da Silva Simões, Esther Luna Colombini, Jackson Paul Matsuura, Marcelo Nicoletti Franchin:
TORP: The Open Robot Project - A Framework for Module-Based Robots. J. Intell. Robotic Syst. 66(1-2): 3-22 (2012) - [c4]Esther Luna Colombini, Carlos Henrique Costa Ribeiro:
An attentive multi-sensor based system for mobile robotics. SMC 2012: 1509-1514
2000 – 2009
- 2007
- [c3]Celeny F. Alves, Esther Luna Colombini, Carlos H. C. Ribeiro:
Sparse Sampling Action Values Initialized by a Compact Representation Technique. ISDA 2007: 729-734 - [c2]Esther Luna Colombini, Alexandre da Silva Simões, Antonio Cesar Germano Martins, Jackson Paul Matsuura:
A Framework for Learning in Humanoid Simulated Robots. RoboCup 2007: 345-352 - [p1]Esther Luna Colombini, Carlos H. C. Ribeiro:
Module-based Autonomous Learning for Mobile Robots. Mobile Robots 2007: 137-159 - 2005
- [c1]Esther Luna Colombini, Carlos H. C. Ribeiro:
An Analysis of Feature-based and State-based Representations for Module-Based Learning in Mobile Robots. HIS 2005: 163-168
Coauthor Index
aka: Sandra Avila
aka: Paula D. P. Costa
aka: Ricardo Ribeiro Gudwin
aka: Marcos Ricardo Omena Albuquerque Máximo
aka: Marcos R. O. A. Máximo
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last updated on 2024-10-04 21:04 CEST by the dblp team
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