Computer Scientist, PhD Computational Vision and Robotics Laboratory, Institute of Computer Science, Foundation fro Research and Technolohy, Hellas (FORTH) GREECE
Michail Maniadakis is a computer scientist working at the Computational Vision and Robotics Laboratory (CVRL) of FORTH-ICS. He is specialized in machine learning and cognitive robotic systems pursuing research for almost 20 years. He has working experience in leading research institutes in Greece (FORTH), Germany (Fraunhofer-Gesellschaft) and Japan (RIKEN) with a recognized research track. He has participated in several National, EU and International projects as assistant, developer and recently, as key proposer and scientific coordinator. Michail Maniadakis has pioneered robotic time perception, having already more than eight years experience in this hot topic that is expected to provide new impetus in robotics. He is the leading scientific contributor in the CVRL research strand exploring robotic temporal cognition and he has been the key initiator of the two relevant EU funded projects, namely the FET-Proactive project
TimeStorm and the more recent FET-Open project Entiment.
The last years my research has mainly focused on artificial time perception for robotic systems and the combination of embodied and entimed cognition.
At the same time, I have been also interested in robotic industrial applications, being heavily involved in the development of a speedy robotic sorter for urban wastes (see early results below).
Recently I developed interest for the agri-tech automation sector, with special focus on the post-harvest management of agricultural commodities targeting the reduction of food waste and the development of intelligent manufacturing technologies.
Urban Waste Robotic Recycling
The ANASA project aims at the development of a robotic urban waste sorter which aims to tackle the demanding needs of todays recycling and material recovery.
Have a look at our early results in the following videos.
A simulated robotic waste sorter.
The real system as of May 2019.
SMART BEAR: Smart Big Data Platform to Offer Evidence-based Personalised Support for Healthy and Independent Living at Home (EU Horizon2020)
sustAGE: Smart environments for person-centered sustainable work and well-being (EU Horizon2020)
ANASA: Auronomous robotic sorter for urban wastes (National Project)
TIMEinSHRI: Predicting the temporal properties of activities facilitates human-robot symbiosis & cooperative intelligence (Honda JP - FORTH)
EnTiment: Industrial Exploitation and Market Uptake of a Temporal Cognition Toolbox for Commercial Robots (EU Horizon2020, FET-Open)
TimeStorm: Mind and Time - Investigation of the temporal attributes of human-machine synergetic interaction (EU Horizon2020, FET-Proactive)
METR: Mental training of artificial agents (National Project)
JAMES: Joint Action for Embodied Social Systems (EU FP7)
META-COG: Rule following and switching in Artificial Agents (RIKEN JP -FORTH)
MATHESIS: Observational Learning in Cognitive Agents (EU FP7)
GNOSYS: An Abstraction Architecture for Cognitive Agents (EU FP6)
E. Argento, G. Papagiannakis, E. Baka, M. Maniadakis, P. Trahanias, I. Nestoros, Augmented Cognition via Brainwave Entrainment in Virtual Reality: an open, integrated brain augmentation in a neuroscience system approach, Augmented Human Research, (in press).
M. Maniadakis, E. Hourdakis, P. Trahanias, Time-informed task planning in multi-agent collaboration, Cognitive Systems Research, 2017.
S. Droit-Volet, P. Trahanias, M. Maniadakis, Passage of time judgements in everyday life are not related to duration judgements except for long durations of several minutes, Acta Psychologica, 173, 126-121, 2017.
M. Maniadakis, P. Trahanias, When and how long: A unified approach for time perception, Frontiers in Psychology, 7(34), 2016.
M. Maniadakis, P. Trahanias, Integrated intrinsic and dedicated representations of time: a computational study involving robotic agents, Timing & Time Perception, 3(3-4), 246-268,2015.
M. Maniadakis, P. Trahanias, Time models and cognitive processes: a review, Frontiers in NeuroRobotics, Research Topic: Towards embodied artificial cognition: TIME is on my side, edited by M. Maniadakis, M. Wittmann. Y. Choe, S. Droit-Volet, 2014.
J. Tani, M. Maniadakis, and R. Paine, Understanding Higher-Order Cognitive Brain Mechanisms by Conducting Evolutional Neuro-robotics Experiments, The Horizons of Evolutionary Robotics, edited by Patricia A. Vargas, Ezequiel A. Di Paolo, Inman Harvey, and Phil Husbands, 2014.
P. Fattori, R. Breveglieri, N. Marzocchi, M. Maniadakis, C. Galletti, Brain area V6A: a cognitive model for an embodied artificial intelligence, Lecture Notes in Artificial Intelligence - 50 Years of Artificial Intelligence, vol. 4850, pp.206-220, 2007.
G.A. Rovithakis, M. Maniadakis, M. Zervakis, G. Fillipidis, G. Zacharakis, A. Katsamouris, T. Papazoglou, \93Artificial Neural Networks for Discriminating Pathologic from Normal Peripheral Vascular Tissue\94, IEEE Trans. On Biomedical Engineering, vol 48, no 10, pp. 1088-1097, 2001.
M. Maniadakis, S. Droit-Volet, P. Trahanias, Emotionally Modulated Time Perception for Prioritized Robot Assistance, in Proc. ACM/IEEE Int. Conference on Human-Robot Interaction (HRI), 2017.
M. Sigalas, M. Maniadakis, P. Trahanias, Time-aware Long-term Episodic Memory for recurring HRI, in Proc. ACM/IEEE Int. Conference on Human-Robot Interaction (HRI), 2017.
M. Maniadakis, E.E. Aksoy, T. Asfour, P. Trahanias, Collaboration of Heterogeneous Agents in Time Constrained Tasks, in Proc. IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2016.
M. Maniadakis, P. Trahanias, Time-informed, Adaptive Multi-robot Synchronization, in Proc. Simulation of Adaptive Behavior (SAB), 2016.
D. Bhowmik, K. Nikiforou, M. Shanahan, M. Maniadakis, P. Trahanias, A Reservoir Computing Model Of Episodic Memory, in Proc. International Joint Conference on Neural Networks (IJCNN), 2016.
M. Maniadakis, P. Trahanias, Artificial Agents Perceiving and Processing Time, in Proc. International Joint Conference on Neural Networks (IJCNN), 2015.
G. Filippidis, G. Zacharakis, A. Katsamouris, G. A. Rovithakis, M. Maniadakis, M. Zervakis, T. G. Papazoglou, Artificial neural networks analysis of laser-induced fluorescence spectra for charcterization of peripheral vascular tissue, Proc. SPIE Vol. 4158, Biomonitoring and Endoscopy Technologies, Israel Gannot; Yuri V. Gulyaev; Theodore G. Papazoglou; Christiaan F. van Swol; Eds., pp. 199-208, 2001.
G.A. Rovithakis, M. Maniadakis, and M. Zervakis, A
genetically optimized artificial neural network structure for feature extraction and classification of vascular tissue luorescence spectrums, International Workshop on Computer Architectures for Machine Perception, CAMP 2000
G. Filippidis, G. Zacharakis, A. Katsamouris, G.A. Rovithakis, M. Maniadakis, M. Zervakis, and T.G. Papazoglou, Artificial Neural Network analysis of laser-induced fluorescence spectra for characterization of peripheral vascular tissue, EOS/SPIE European Biomedical Optics (EBIOS), 2000.
G. Rovithakis, M. Maniadakis, M. Zervakis, Artificial Neural Networks for Feature Extraction and Classification of Vascular Tissue Fluorescence Spectrums, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2000.
G.A. Rovithakis, M. Maniadakis, M. Zervakis, G. Fillipidis, G. Zacharakis, T. Papazoglou Optimization of a ANN Diagnostic System using GAs, Second Panhellinic Conference on Biomedical Technology 1999.
G.A. Rovithakis, M. Maniadakis, M. Zervakis, G. Fillipidis, G. Zacharakis, T. Papazoglou, Vascular Tissue Characterization using Laser Fluorescence Spectrums and ANNs, Second Panhellinic Conference on Biomedical Technology, 1999.
M. Maniadakis, H. Surmann A Genetic Algorithm for Structural and Parametrical Tuning of Fuzzy Systems, European Symposium on Intelligent Techniques (ESIT), 1999.
M. Maniadakis, P. Trahanias, Is Time the Next Big Thing in Robot Cognition?, Cognitive Neuroscience Robotics Workshop, IEEE/RSJ International Conference on Intelligent Robots and System 2012 (IROS), Vilamoura, Portugal, 2012.
M. Maniadakis, Do Robots Sense the Flow of Time?
EUROCOGSCI 2011, Symposium Current advances on Time perception:
Psychophysical, Neuronal, and Applied Perspectives, 21-24 May, 2011.
M. Maniadakis, Time Perception as a Key Ingredient of Robotic Intelligence, 1st International Workshop on the Multidisciplinary Aspects of Time Perception, 7-8 October, 2010.
M. Maniadakis, Panos Trahanias and Jun Tani, Self-organizing neural mechanisms for higher-order cognitive functions in human prefrontal cortex, Brain Lunch Seminar, RIKEN, 31 July 2009.
M. Maniadakis, P. Trahanias, Executive Control in Artificial Agents, ERCIM News, 84, 32-33, 2011
M. Maniadakis, P. Trahanias, High Level Cognition for Artificial Agents in FORTH Retreat, Loutra Kyllinis, Greece, October 2009.
M. Maniadakis, J. Tani, Executive Control Dynamics, in RIKEN-BSI Retreat, 2008.
M. Maniadakis, J. Tani, Investigating Mental Shifting Mechanisms in Dynamical Systems, in RIKEN-BSI Retreat, 2007.
M. Maniadakis, Hierarchical Cooperative CoEvolution: A New Tool to Assist Brain Modeling Efforts, RIKEN BSI, December 14, 2006.
M. Maniadakis, P. Trahanias, Mechanisms for Cognition Development Inspired by the Mammalian Paradigm, ERCIM News, 55, 12-13, 2003.
In my free time, I enjoy cooking for friends and myself. I love greek traditional food with gourmet touches, but I am also fun of asian and particularly japanese food! I
am now trying to train my 18-month-old daughter in liking gourmet
dishes. This is a top secret, you know, but my wife doesn't. So please
say nothing if you meet her around. ;-)
In addition to cooking, I had co-founded the website foodadvisor.gr (unfortunately not running anymore) that was dedicated in reviewing restaurants around Greece.