Estela Bicho

Orcid: 0000-0003-2715-4037

According to our database1, Estela Bicho authored at least 66 papers between 1997 and 2024.

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

Timeline

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Bibliography

2024
A Machine Learning Approach for Points of Interest Extraction and Event Classification.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

RAMBO - Robotic Anthropomorphic Manipulator for Bimanual Operations.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2024

2023
Adaptive timing in a dynamic field architecture for natural human-robot interactions.
Cogn. Syst. Res., December, 2023

Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization.
Proceedings of the 2023 6th International Conference on Mathematics and Statistics, 2023

Navigation and docking maneuvers control of an autonomous omnidirectional platform in a dynamic internal logistics environment.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2023

2022
Human-Robot Interaction in Industrial Settings: Perception of Multiple Participants at a Crossroad Intersection Scenario with Different Courtesy Cues.
Robotics, 2022

Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

A Data Recording Mobile Application to Create Datasets of Vehicle Users' Routines.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2022

Trajectory tracking for the inspection of deformable objects considering manipulability of a 7-DoF serial manipulator.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2022

2021
Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model.
IEEE Trans. Cogn. Dev. Syst., 2021

A neural integrator model for planning and value-based decision making of a robotics assistant.
Neural Comput. Appl., 2021

A dynamic neural field model of continuous input integration.
Biol. Cybern., 2021

NeuroPrime: a Pythonic framework for the priming of brain states in self-regulation protocols.
Proceedings of the 9th IEEE International Conference on Serious Games and Applications for Health, 2021

Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

From Handcrafting to a Certified and Ergonomic Collaborative Workstation: the Digital Transformation Process**This work was supported by NORTE-06-3559-FSE-000018, integrated into the invitation NORTE-59-2018-41, aiming to hire highly-qualified human resources, co-financed by the Regional Operational Programme of the North 2020, thematic area of Competitiveness and Employment, through the European Social Fund (ESF). † This work was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Committee of Ethics for Research in Social and Humans Sciences of the University of Minho (approval number CEICSH 095/2019). Informed consent was obtained from all subjects involved.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2021

Autonomous Vehicles on the Factory Floor: An Approach to Safety.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

Continual Learning of Human-like Arm Postures.
Proceedings of the IEEE International Conference on Development and Learning, 2021

Towards Endowing Intelligent Cars with the Ability to Learn the Routines of Multiple Drivers: A Dynamic Neural Field Model.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial Characteristics.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Human-Like Arm Motion Generation: A Review.
Robotics, 2020

Priming with mindfulness affects our capacity to self-regulate brain activity?
Proceedings of the 8th IEEE International Conference on Serious Games and Applications for Health, 2020

A safe autonomous stacker in human shared workspaces <sup>*</sup>.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Gait Characteristics and Their Discriminative Ability in Patients with Fabry Disease with and Without White-Matter Lesions.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Global Implications of Human Tendencies Towards Automated Driving and Human Driver Availability in Autonomous Vehicles.
Proceedings of the HCI International 2020 - Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments, 2020

Safety Requirements for the Design of Collaborative Robotic Workstations in Europe - A Review.
Proceedings of the Advances in Safety Management and Human Performance, 2020

2019
Attractor dynamics approach to joint transportation by autonomous robots: theory, implementation and validation on the factory floor.
Auton. Robots, 2019

Towards Endowing Collaborative Robots with Fast Learning for Minimizing Tutors' Demonstrations: What and When to Do?
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

Motion Control for Autonomous Tugger Vehicles in Dynamic Factory Floors Shared with Human Operators.
Proceedings of the IECON 2019, 2019

Automatic Denavit-Hartenberg Parameter Identification for Serial Manipulators.
Proceedings of the IECON 2019, 2019

Neural Field Model for Measuring and Reproducing Time Intervals.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Teaching/learning PBL activity: Gantry crane control system implementation.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

Towards temporal cognition for robots: A neurodynamics approach.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

A software framework for the implementation of Dynamic Neural Field control architectures for human-robot interaction.
Proceedings of the 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, 2017

2016
Experiential Learning of Robotics Fundamentals Based on a Case Study of Robot-Assisted Stereotactic Neurosurgery.
IEEE Trans. Educ., 2016

Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease.
Comput. Intell. Neurosci., 2016

Combining intention and emotional state inference in a dynamic neural field architecture for human-robot joint action.
Adapt. Behav., 2016

Multi-constrained joint transportation tasks by teams of autonomous mobile robots using a dynamical systems approach.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

MUVTIME: A Multivariate Time Series Visualizer for Behavioral Science.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

2015
Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning.
Neural Networks, 2015

Learning joint representations for order and timing of perceptual-motor sequences: A dynamic neural field approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Analysis of postural kinetics data using Artificial Neural Networks in Alzheimer's Disease.
Proceedings of the 2014 IEEE International Symposium on Medical Measurements and Applications, 2014

Special session: Dynamic interactions between visual experiences, actions and word learning.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Learning a musical sequence by observation: A robotics implementation of a dynamic neural field model.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2013
A Self-Tunable Dynamic Vibration Absorber: Analysis, Modulation and Simulation for Parkinsonian Tremors.
Proceedings of the 15th International Conference on Computer Modelling and Simulation, 2013

Transportation of long objects in unknown cluttered environments by a team of robots: A dynamical systems approach.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

2012
Multi-robot cognitive formations.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

The power of prediction: Robots that read intentions.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Nonlinear Optimization for Human-Like Movements of a High Degree of Freedom Robotics Arm-Hand System.
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Integrating verbal and nonverbal communication in a dynamic neural field architecture for human-robot interaction.
Frontiers Neurorobotics, 2010

Attractor dynamics approach to formation control: theory and application.
Auton. Robots, 2010

2008
Robot formations: Robots allocation and leader-follower pairs.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Joint action in man and autonomous systems.
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction, 2008

2007
Object transportation by multiple mobile robots controlled by attractor dynamics: theory and implementation.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2006
Goal-directed imitation for robots: A bio-inspired approach to action understanding and skill learning.
Robotics Auton. Syst., 2006

2005
Autonomous flight trajectory generation via attractor dynamics.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Action Understanding and Imitation Learning in a Robot-Human Task.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
Attractor Dynamics Generates Robot Formation: from Theory to Implementation.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2003
Formation control for multiple mobile robots: a non-linear attractor dynamics approach.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

2002
A Dynamical Systems Approach to Behavior-Based Formation Control.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2000
Target Representation on an Autonomous Vehicle with Low-Level Sensors.
Int. J. Robotics Res., 2000

1997
The dynamic approach to autonomous robotics demonstrated on a low-level vehicle platform.
Robotics Auton. Syst., 1997


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