Michail Maniadakis

According to our database1, Michail Maniadakis authored at least 47 papers between 2000 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Speed Adaptation in Learning from Demonstration through Latent Space Formulation.
Robotica, 2020

Time-Aware Multi-Agent Symbiosis.
Frontiers Robotics AI, 2020

On the Use of Vacuum Technology for Applied Robotic Systems.
Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

Robotic Pick-and-Toss Facilitates Urban Waste Sorting <sup>*</sup>.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
Online Performance Prediction and Profiling of Human Activities by Observation.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Time-informed Human-Robot Interaction: Combining Time, Emotions, Skills and Task Ordering.
ERCIM News, 2018

2017
Time-informed task planning in multi-agent collaboration.
Cogn. Syst. Res., 2017

Episodic memory formulation and its application in long-term HRI.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Time-Aware Long-term Episodic Memory for Recurring HRI.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Emotionally Modulated Time Perception for Prioritized Robot Assistance.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

2016
Time-Informed, Adaptive Multi-robot Synchronization.
Proceedings of the From Animals to Animats 14, 2016

A reservoir computing model of episodic memory.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Collaboration of heterogeneous agents in time constrained tasks.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Artificial agents perceiving and processing time.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Toward embodied artificial cognition: TIME is on my side.
Frontiers Neurorobotics, 2014

Time models and cognitive processes: a review.
Frontiers Neurorobotics, 2014

Time in Consciousness, Memory and Human-Robot Interaction.
Proceedings of the From Animals to Animats 13, 2014

2013
Self-organized Neural Representation of Time.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms.
Neural Networks, 2012

2011
Temporal Cognition: A Key Ingredient of Intelligent Systems.
Frontiers Neurorobotics, 2011

Executive Control in Artificial Agents.
ERCIM News, 2011

Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Time Experiencing by Robotic Agents.
Proceedings of the ESANN 2011, 2011

2010
Self-organized executive control functions.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Explorations on artificial time perception.
Neural Networks, 2009

Hierarchical Cooperative COEvolution: Presentation and Assessment Study.
Int. J. Artif. Intell. Tools, 2009

Agent-Based Brain Modeling by Means of Hierarchical Cooperative Coevolution.
Artif. Life, 2009

Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition.
Adapt. Behav., 2009

Time perception in shaping cognitive neurodynamics of artificial agents.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Hierarchical Co-evolution of Cooperating Agents Acting in the Brain-Arena.
Adapt. Behav., 2008

Dynamical Systems Account for Meta-level Cognition.
Proceedings of the From Animals to Animats 10, 2008

2007
Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative Coevolution.
Int. J. Artif. Intell. Tools, 2007

Modeling Overlapping Execution/Observation Brain Pathways.
Proceedings of the International Joint Conference on Neural Networks, 2007

Assessing Hierarchical Cooperative CoEvolution.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

A biologically inspired approach for the control of the hand.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Modelling brain emergent behaviours through coevolution of neural agents.
Neural Networks, 2006

Hierarchical Cooperative CoEvolution Facilitates the Redesign of Agent-Based Systems.
Proceedings of the From Animals to Animats 9, 2006

Brain Area V6A: A Cognitive Model for an Embodied Artificial Intelligence.
Proceedings of the 50 Years of Artificial Intelligence, 2006

2005
CoEvolutionary Incremental Modelling of Robotic Cognitive Mechanisms.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005

Distributed brain modelling by means of hierarchical collaborative coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
A hybrid neural network/genetic algorithm approach to optimizing feature extraction for signal classification.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Evolution Tunes Coevolution: Modelling Robot Cognition Mechanisms.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
A Computational Model of Neocortical-Hippocampal Cooperation and Its Application to Self-Localization.
Proceedings of the Advances in Artificial Life, 7th European Conference, 2003

2001
Artificial neural networks for discriminating pathologic from normal peripheral vascular tissue.
IEEE Trans. Biomed. Eng., 2001

Learning feed-forward and recurrent fuzzy systems: A genetic approach.
J. Syst. Archit., 2001

2000
Artificial neural networks for feature extraction and classification of vascular tissue fluorescence spectrums.
Proceedings of the IEEE International Conference on Acoustics, 2000

A Genetically Optimized Artificial Neural Network Structure for Feature Extraction and Classification of Vascular Tissue Fluorescence Spectrums.
Proceedings of the Fifth International Workshop on Computer Architectures for Machine Perception (CAMP 2000), 2000


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