Michail Maniadakis

58 papers A 1B 10Misc 1Journal 21Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Cost-Effective Robotic Recycling Workers: From Lab Experiments to Real-World Deployment. ICAART (1) Nikolaos Kounalakis, Georgios Alexakis, Fredy Raptopoulos, Michail Maniadakis
2024	J	`jnl`	Decentralised Material Recovery for a Sustainable Future. ERCIM News Eleni Troulaki, Michail Maniadakis
2024	—	`conf`	On the generation and assessment of synthetic waste images. CAI Nick Tsagarakis, Michail Maniadakis
2024	—	`conf`	Portable, Robotic Material Recovery in a Box. ERF (2) Michail Maniadakis, Antonios Liapis, Jef Peeters, Vasilis Makridis, Laurent Paszkiewicz, Fredy Raptopoulos, Javier Grau Forner, Myrto Pelopida, Friederike Kleijn, Nikos Vythoulkas
2023	—	`conf`	Hyperspectral Classification of Recyclable Plastics in Industrial Setups. AIAI (1) Georgios Alexakis, Michail Maniadakis
2023	—	`conf`	Synthetic data generation based on grid deformation for waste recycling applications. IST Nick Tsagarakis, Alexandros Antonaras, Michail Maniadakis
2022	—	`conf`	Intelligent robotic system for urban waste recycling. IST Konstantia Moirogiorgou, Freiderikos Raptopoulos, George Livanos, Stavros Orfanoudakis, Maria Papadogiorgaki, Michalis E. Zervakis, Michail Maniadakis
2021	—	`conf`	Detection of physical strain and fatigue in industrial environments using visual and non-visual sensors. PETRA Konstantinos E. Papoutsakis, Thodoris Papadopoulos, Michail Maniadakis, Manolis I. A. Lourakis, Maria Pateraki, Iraklis Varlamis
2021	J	`jnl`	Robotic Waste Sorting Technology: Toward a Vision-Based Categorization System for the Industrial Robotic Separation of Recyclable Waste. IEEE Robotics Autom. Mag. Maria Koskinopoulou, Fredy Raptopoulos, George Papadopoulos, Nikitas Mavrakis, Michail Maniadakis
2020	—	`conf`	On the Use of Vacuum Technology for Applied Robotic Systems. ICMRE Emmanouil Papadakis, Fredy Raptopoulos, Maria Koskinopoulou, Michail Maniadakis
2020	—	`conf`	Robotic Pick-and-Toss Facilitates Urban Waste Sorting CASE Fredy Raptopoulos, Maria Koskinopoulou, Michail Maniadakis
2020	J	`jnl`	Speed Adaptation in Learning from Demonstration through Latent Space Formulation. Robotica Maria Koskinopoulou, Michail Maniadakis, Panos E. Trahanias
2020	J	`jnl`	Time-Aware Multi-Agent Symbiosis. Frontiers Robotics AI Michail Maniadakis, Emmanouil Hourdakis, Markos Sigalas, Stylianos Piperakis, Maria Koskinopoulou, Panos E. Trahanias
2019	A	`conf`	Online Performance Prediction and Profiling of Human Activities by Observation. IROS Emmanouil Hourdakis, Michail Maniadakis, Panos E. Trahanias
2018	J	`jnl`	Time-informed Human-Robot Interaction: Combining Time, Emotions, Skills and Task Ordering. ERCIM News Parmenion Mokios, Michail Maniadakis
2017	—	`conf`	Emotionally Modulated Time Perception for Prioritized Robot Assistance. HRI (Companion) Michail Maniadakis, Sylvie Droit-Volet, Panos E. Trahanias
2017	B	`conf`	Episodic memory formulation and its application in long-term HRI. RO-MAN Markos Sigalas, Michail Maniadakis, Panos E. Trahanias
2017	—	`conf`	Time-Aware Long-term Episodic Memory for Recurring HRI. HRI (Companion) Markos Sigalas, Michail Maniadakis, Panos E. Trahanias
2017	J	`jnl`	Time-informed task planning in multi-agent collaboration. Cogn. Syst. Res. Michail Maniadakis, Emmanouil Hourdakis, Panos E. Trahanias
2016	B	`conf`	A reservoir computing model of episodic memory. IJCNN David Bhowmik, Kyriacos Nikiforou, Murray Shanahan, Michail Maniadakis, Panos E. Trahanias
2016	—	`conf`	Collaboration of heterogeneous agents in time constrained tasks. Humanoids Michail Maniadakis, Eren Erdal Aksoy, Tamim Asfour, Panos E. Trahanias
2016	—	`conf`	Time-Informed, Adaptive Multi-robot Synchronization. SAB Michail Maniadakis, Panos E. Trahanias
2015	B	`conf`	Artificial agents perceiving and processing time. IJCNN Michail Maniadakis, Panos E. Trahanias
2014	—	`conf`	Time in Consciousness, Memory and Human-Robot Interaction. SAB Michail Maniadakis, Panos E. Trahanias
2014	J	`jnl`	Time models and cognitive processes: a review. Frontiers Neurorobotics Michail Maniadakis, Panos E. Trahanias
2014	J	`jnl`	Toward embodied artificial cognition: TIME is on my side. Frontiers Neurorobotics Michail Maniadakis, Marc Wittmann, Sylvie Droit-Volet, Yoonsuck Choe
2013	—	`conf`	Self-organized Neural Representation of Time. ICONIP (1) Michail Maniadakis, Panos E. Trahanias
2012	J	`jnl`	Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms. Neural Networks Michail Maniadakis, Panos E. Trahanias, Jun Tani
2011	—	`conf`	Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks. ICDL-EPIROB Michail Maniadakis, Jun Tani, Panos E. Trahanias
2011	J	`jnl`	Executive Control in Artificial Agents. ERCIM News Michail Maniadakis, Panos E. Trahanias
2011	J	`jnl`	Temporal Cognition: A Key Ingredient of Intelligent Systems. Frontiers Neurorobotics Michail Maniadakis, Panos E. Trahanias
2011	B	`conf`	Time Experiencing by Robotic Agents. ESANN Michail Maniadakis, Marc Wittmann, Panos E. Trahanias
2010	B	`conf`	Self-organized executive control functions. IJCNN Michail Maniadakis, Panos E. Trahanias, Jun Tani
2009	J	`jnl`	Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition. Adapt. Behav. Michail Maniadakis, Jun Tani
2009	J	`jnl`	Agent-Based Brain Modeling by Means of Hierarchical Cooperative Coevolution. Artif. Life Michail Maniadakis, Panos E. Trahanias
2009	J	`jnl`	Explorations on artificial time perception. Neural Networks Michail Maniadakis, Panos E. Trahanias, Jun Tani
2009	J	`jnl`	Hierarchical Cooperative COEvolution: Presentation and Assessment Study. Int. J. Artif. Intell. Tools Michail Maniadakis, Panos E. Trahanias
2009	B	`conf`	Time perception in shaping cognitive neurodynamics of artificial agents. IJCNN Michail Maniadakis, Jun Tani, Panos E. Trahanias
2008	—	`conf`	Dynamical Systems Account for Meta-level Cognition. SAB Michail Maniadakis, Jun Tani
2008	J	`jnl`	Hierarchical Co-evolution of Cooperating Agents Acting in the Brain-Arena. Adapt. Behav. Michail Maniadakis, Panos E. Trahanias
2007	B	`conf`	A biologically inspired approach for the control of the hand. IEEE Congress on Evolutionary Computation Emmanouil Hourdakis, Michail Maniadakis, Panos E. Trahanias
2007	—	`conf`	Assessing Hierarchical Cooperative CoEvolution. ICTAI (1) Michail Maniadakis, Panos E. Trahanias
2007	B	`conf`	Modeling Overlapping Execution/Observation Brain Pathways. IJCNN Michail Maniadakis, Manolis Hourdakis, Panos E. Trahanias
2007	J	`jnl`	Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative Coevolution. Int. J. Artif. Intell. Tools Michail Maniadakis, Panos E. Trahanias
2006	—	`conf`	Brain Area V6A: A Cognitive Model for an Embodied Artificial Intelligence. 50 Years of Artificial Intelligence Patrizia Fattori, Rossella Breveglieri, Nicoletta Marzocchi, Michail Maniadakis, Claudio Galletti
2006	—	`conf`	Hierarchical Cooperative CoEvolution Facilitates the Redesign of Agent-Based Systems. SAB Michail Maniadakis, Panos E. Trahanias
2006	—	`conf`	Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative CoEvolution. SETN Michail Maniadakis, Panos E. Trahanias
2006	J	`jnl`	Modelling brain emergent behaviours through coevolution of neural agents. Neural Networks Michail Maniadakis, Panos E. Trahanias
2005	B	`conf`	A hierarchical coevolutionary method to support brain-lesion modelling. IJCNN Michail Maniadakis, Panos E. Trahanias
2005	—	`conf`	CoEvolutionary Incremental Modelling of Robotic Cognitive Mechanisms. ECAL Michail Maniadakis, Panos E. Trahanias
2005	B	`conf`	Distributed brain modelling by means of hierarchical collaborative coevolution. Congress on Evolutionary Computation Michail Maniadakis, Panos E. Trahanias
2004	J	`jnl`	A hybrid neural network/genetic algorithm approach to optimizing feature extraction for signal classification. IEEE Trans. Syst. Man Cybern. Part B George A. Rovithakis, Michail Maniadakis, Michalis E. Zervakis
2004	—	`conf`	Evolution Tunes Coevolution: Modelling Robot Cognition Mechanisms. GECCO (1) Michail Maniadakis, Panos E. Trahanias
2003	—	`conf`	A Computational Model of Neocortical-Hippocampal Cooperation and Its Application to Self-Localization. ECAL Michail Maniadakis, Panos E. Trahanias
2001	J	`jnl`	Artificial neural networks for discriminating pathologic from normal peripheral vascular tissue. IEEE Trans. Biomed. Eng. George A. Rovithakis, Michail Maniadakis, Michael E. Zervakis, George Filippidis, Giannis Zacharakis, Asterios N. Katsamouris, Theodore G. Papazoglou
2001	J	`jnl`	Learning feed-forward and recurrent fuzzy systems: A genetic approach. J. Syst. Archit. Hartmut Surmann, Michail Maniadakis
2000	—	`conf`	A Genetically Optimized Artificial Neural Network Structure for Feature Extraction and Classification of Vascular Tissue Fluorescence Spectrums. CAMP George A. Rovithakis, Michail Maniadakis, Michalis E. Zervakis
2000	Misc	`conf`	Artificial neural networks for feature extraction and classification of vascular tissue fluorescence spectrums. ICASSP George A. Rovithakis, Michail Maniadakis, Michalis E. Zervakis