Μάρκος Σιγάλας

e-Cattie: A Versatile Climbing Quadrupedal Robot

Emmanuel P. Papadakis, Μάρκος Σιγάλας, Michail Vangos, Panos Trahanias

This paper introduces e-Cattie, a novel quadrupedal robotic system equipped for climbing and traversing surfaces of various inclinations and roughness, from planar terrains to vertical walls and even upside-down surfaces. Designed with autonomy and versatility at its core, e-Cattie is inspired by …

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The GEM-C controller for Load Compensation in Object Manipulation

Emmanuel P. Papadakis, Μάρκος Σιγάλας, Michail Vangos, Panos Trahanias

Nowadays, robotic arms are ubiquitously employed for object manipulation across a spectrum of applications, spanning from production lines to warehouses, and encompassing both stationary and mobile robotic systems. Among the most prevalent end-effectors, used for the majority of these applications, are suction …

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MIGHTY: Multi-Functional Suction Cup for Object Gripping and Surface Attachment

Emmanuel P. Papadakis, Μάρκος Σιγάλας, Michail Vangos, Panos Trahanias

The spectrum of applications of robotic systems is constantly being expanded in the research, industrial and even the defense sectors, ranging from manipulation and assembly to critical infrastructure monitoring and post-disaster response. Nevertheless, contemporary robotic capabilities are significantly hindered when traversing through …

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Neural Network-Enabled Identification of Weak Inspiratory Efforts during Pressure Support Ventilation Using Ventilator Waveforms

Stella Soundoulounaki, Emmanouil Sylligardos, Evangelia Akoumianaki, Μάρκος Σιγάλας et autres

During pressure support ventilation (PSV), excessive assist results in weak inspiratory efforts and promotes diaphragm atrophy and delayed weaning. The aim of this study was to develop a classifier using a neural network to identify weak inspiratory efforts during PSV, based on …

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A Deep Learning Approach to Detect Ventilatory Over-Assistance

Emmanouil Sylligardos, Μάρκος Σιγάλας, Stella Soundoulounaki, Katerina Vaporidi et autres

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Time-Aware Multi-Agent Symbiosis

Michail Maniadakis, Emmanouil Hourdakis, Μάρκος Σιγάλας, Stylianos Piperakis et autres

Contemporary research in human-machine symbiosis has mainly concentrated on enhancing relevant sensory, perceptual, and motor capacities, assuming short-term and nearly momentary interaction sessions. Still, human-machine confluence encompasses an inherent temporal dimension that is typically overlooked. The present work shifts the focus on …

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Episodic memory formulation and its application in long-term HRI

Μάρκος Σιγάλας, Michail Maniadakis, Panos Trahanias

Efficient storing and managing of robot's experiences is of utmost importance in long-term recurring HumanRobot Interaction scenarios, where the volume of information increases constantly. To address these issues, a novel entity-based episodic memory is introduced in this work. Knowledge is represented by …

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Time-Aware Long-term Episodic Memory for Recurring HRI

Μάρκος Σιγάλας, Michail Maniadakis, Panos Trahanias

In this paper, we present a time-aware entity-based episodic memory for recurring Human-Robot Interaction tasks. Entities are asynchronously updated, while an importance factor modulates forgetting, in order to facilitate search and management of the stored information. Time awareness and forgetting are crucial …

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全身姿勢追跡-トップビュー再投影アプローチ【Powered by NICT】

Μάρκος Σιγάλας, P Repetto Maria, Trahanias Panos

Full-Body Pose Tracking—The Top View Reprojection Approach

Μάρκος Σιγάλας, Maria Pateraki, Panos Trahanias

Recent introduction of low-cost depth cameras triggered a number of interesting works, pushing forward the state-of-the-art in human body pose extraction and tracking. However, despite the remarkable progress, many of the contemporary methods cope inadequately with complex scenarios, involving multiple interacting users, …

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Full-body pose tracking under severe occlusions

Μάρκος Σιγάλας

Η ανάκτηση και παρακολούθηση της πόζας του αρθρωτού ανθρώπινου σώματος, χωρίς την χρήση οπτικών σημαδιών, είναι ένα απαιτητικό πρόβλημα με σημαντικές θεωρητικές και πρακτικές πτυχές. Η πρόσφατη εισαγωγή καμερών βάθους (RGB-D cameras) χαμηλού κόστους είχε ως αποτέλεσμα την εμφάνιση ενός πλήθους από …

Visual Estimation of Attentive Cues in HRI: The Case of Torso and Head Pose

Μάρκος Σιγάλας, Maria Pateraki, Panos Trahanias

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