Luca Patanè

Orcid: 0000-0002-5488-9365

According to our database1, Luca Patanè authored at least 97 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Stability and Safety Learning Methods for Legged Robots.
Robotics, 2024

2023
A Data-Driven Model Predictive Control for Quadruped Robot Steering on Slippery Surfaces.
Robotics, June, 2023

Editorial: Focus on methods: neural algorithms for bio-inspired robotics.
Frontiers Neurorobotics, June, 2023

Model-Agnostic Soft Sensor Interpretability.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Blood Glucose Regulation in Type 1 Diabetes Through Optimized Nonlinear Control Strategies.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Estimating Finite-Time Delay in Dynamical Soft Sensors for Industrial Processes: Robustness to Noise.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Driving Hexapods Through Insect Brain.
Proceedings of the Biomimetic and Biohybrid Systems - 12th International Conference, 2023

A biologically-inspired locally-connected spiking network for efficient and robust ground reaction force estimation in a legged robot.
Proceedings of the International Joint Conference on Neural Networks, 2023

Quaternion Neural Networks for Multidimensional Applications: An Overview.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

Two-leg balancing in a quadrupedal robot via hypercomplex neural networks.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

Obstructive Sleep Apnea Identification Based On VGGish Networks.
Proceedings of the 37th ECMS International Conference on Modelling and Simulation, 2023

2022
A New Embodied Motor-Neuron Architecture.
IEEE Trans. Control. Syst. Technol., 2022

Bio-Inspired Locomotion Control of Gecko-Mimic Robot: From Biological Observation to Robot Control.
IEEE Instrum. Meas. Mag., 2022

Guest Editorial: Biomimetic Architectures: Sensing and Control.
IEEE Instrum. Meas. Mag., 2022

Insect-Inspired Spiking Neural Controllers for Adaptive Behaviors in Bio-Robots.
IEEE Instrum. Meas. Mag., 2022

Estimating finite-time delay in dynamical soft sensors: an industrial case of study.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Application of data distribution metrics for soft sensors in industrial scenarios.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Ground Reaction Force Estimation in a Quadruped Robot via Liquid State Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Insect-Inspired Robots: Bridging Biological and Artificial Systems.
Sensors, 2021

RNN- and LSTM-Based Soft Sensors Transferability for an Industrial Process.
Sensors, 2021

Echo-state networks for soft sensor design in an SRU process.
Inf. Sci., 2021

Learning risk-mediated traversability maps in unstructured terrains navigation through robot-oriented models.
Inf. Sci., 2021

Echo State Networks for Estimating Exteroceptive Conditions From Proprioceptive States in Quadruped Robots.
Frontiers Neurorobotics, 2021

Assessment of navigation capabilities of Mini Cheetah robot for monitoring of landslide terrains.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

MPC-based control strategy of a neuro-inspired quadruped robot.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Thermal Dynamics for Characterizing Nonlinear Circuit Behavior.
Int. J. Bifurc. Chaos, 2020

Robust modelling of binary decisions in Laplacian Eigenmaps-based Echo State Networks.
Eng. Appl. Artif. Intell., 2020

Learning traversability map of different robotic platforms for unstructured terrains path planning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Data-based analysis of Laplacian Eigenmaps for manifold reduction in supervised Liquid State classifiers.
Inf. Sci., 2019

Integrative Biomimetics of Autonomous Hexapedal Locomotion.
Frontiers Neurorobotics, 2019

Structural and input reduction in a ESN for robotic navigation tasks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Exploiting Imperfections in Perception-Action Learning.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Emergence of Locomotion Gaits through Sensory Feedback in a Quadruped Robot.
Proceedings of the From Parallel to Emergent Computing, 1st Edition, 2019

2018
Insect-Inspired Body Size Learning Model on a Humanoid Robot.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

2017
Motor-Skill Learning in an Insect Inspired Neuro-Computational Control System.
Frontiers Neurorobotics, 2017

Minimal decentralized control in a Drosophila-inspired walking robot.
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017

Insect inspired spatial-temporal cellular processing for feature-action learning.
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017

2016
A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning.
Int. J. Neural Syst., 2016

2015
Modelling the insect Mushroom Bodies: Application to sequence learning.
Neural Networks, 2015

Spiking neural controllers in multi-agent competitive systems for adaptive targeted motor learning.
J. Frankl. Inst., 2015

Fly-inspired sensory feedback in a reaction-diffusion neural system for locomotion control in a hexapod robot.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Mushroom Bodies inspired spiking network for classification and sequence learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Roving Robots Gain from an Orientation Algorithm of Fruit Flies and Predict a Fly Decision-Making Algorithm.
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014

Motor Learning and Body Size within an Insect Brain Computational Model.
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014

A Robotic Simulation Framework for Cognitive Systems.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II, 2014

A Computational Model for the Insect Brain.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II, 2014

Experimental Scenarios.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II, 2014

Robotic Experiments and Comparisons.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II, 2014

CPG for Motor Control.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II, 2014

Robotic Platforms.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II, 2014

2013
A spiking network for spatial memory formation: Towards a fly-inspired ellipsoid body model.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A spiking network for body size learning inspired by the fruit fly.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A computational model for motor learning in insects.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

The Insect Mushroom Bodies: a Paradigm of Neural Reuse.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

2012
Learning expectation in insects: A recurrent spiking neural model for spatio-temporal representation.
Neural Networks, 2012

An insect-inspired bionic sensor for tactile localization and material classification with state-dependent modulation.
Frontiers Neurorobotics, 2012

Autonomous learning of collaboration among robots.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Modeling attentional loop in the insect Mushroom Bodies.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A spiking network for object and ego-motion detection in roving robots.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Decision making processes in the fruit fly: a computational model.
Proceedings of the Neural Nets WIRN11, 2011

Modelling stepping strategies for steering in Insects.
Proceedings of the Neural Nets WIRN11, 2011

An insect brain inspired neural model for object representation and expectation.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Software/Hardware Issues in Modelling Insect Brain Architecture.
Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011

2010
An insect brain computational model inspired by Drosophila melanogaster: Simulation results.
Proceedings of the International Joint Conference on Neural Networks, 2010

Insect inspired unsupervised learning for tactic and phobic behavior enhancement in a hybrid robot.
Proceedings of the International Joint Conference on Neural Networks, 2010

An insect brain computational model inspired by Drosophila melanogaster: Architecture description.
Proceedings of the International Joint Conference on Neural Networks, 2010

SARSA-based reinforcement learning for motion planning in serial manipulators.
Proceedings of the International Joint Conference on Neural Networks, 2010

Incremental learning for visual classification using Neural Gas.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Learning Anticipation via Spiking Networks: Application to Navigation Control.
IEEE Trans. Neural Networks, 2009

Cellular Nonlinear Networks for the emergence of perceptual states: Application to robot navigation control.
Neural Networks, 2009

The winnerless competition paradigm in cellular nonlinear networks: Models and applications.
Int. J. Circuit Theory Appl., 2009

Emergence of perceptual states in nonlinear lattices: A new computational model for perception.
Proceedings of the International Joint Conference on Neural Networks, 2009

Complex Systems and Perception.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 2009

Perception for Action in Roving Robots: A Dynamical System Approach.
Proceedings of the Artificial Life Models in Hardware, 2009

Robotic Platforms and Experiments.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 2009

From Low to High Level Approach to Cognitive Control.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 2009

SPARK Hardware.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 2009

2008
Reactive navigation through multiscroll systems: from theory to real-time implementation.
Auton. Robots, 2008

Perception for Action: Dynamic Spatiotemporal Patterns Applied on a Roving Robot.
Adapt. Behav., 2008

Implementation of a CNN-based perceptual framework on a roving robot.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007
Turing Patterns in RD-CNNS for the Emergence of Perceptual States in Roving Robots.
Int. J. Bifurc. Chaos, 2007

Integrating high-level sensor features via STDP for bio-inspired navigation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Visual homing: Experimental results on an autonomous robot.
Proceedings of the 18th European Conference on Circuit Theory and Design, 2007

2006
Climbing obstacle in bio-robots via CNN and adaptive attitude control.
Int. J. Circuit Theory Appl., 2006

Realization of a CNN-driven cockroach-inspired robot.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2005
A CNN-based chip for robot locomotion control.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

CPG-MTA implementation for locomotion control.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Climbing obstacles via bio-inspired CNN-CPG and adaptive attitude control.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

A new simulation tool for action-oriented perception systems.
Proceedings of 10th IEEE International Conference on Emerging Technologies and Factory Automation, 2005

A cricket-inspired Neural Network For FeedForward Compensation and Multisensory Integration.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Perception-based navigation through weak chaos control.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Chaotic sequences in ACO algorithms.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

2003
Sensory Feedback in CNN-Based Central Pattern Generators.
Int. J. Neural Syst., 2003

Implementation of Turing patterns for bio-inspired motion control.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

2002
A cellular nonlinear approach to decentralized locomotion control of the stick insect.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002


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