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Vassilios Morellas

8 accepted papers

2022

Robotic Embodiment of Human-Like Motor Skills via Reinforcement Learning

RA-L 2022

Current methods require robots to be reprogrammed for every new task, consuming many engineering resources. This work focuses on integrating real and simulated environments for our proposed “Internet of Skills,” which enables robots to learn advanced skills from a small set of expert d

Cited by 9SourceScholar
2018

Extracting Phenotypic Characteristics of Corn Crops Through the Use of Reconstructed 3D Models

IROS 2018poster

Financial and social elements of modern societies are closely connected to the cultivation of corn. Due to its massive production, deficiencies during the cultivation process directly translate to major financial losses. Since proper surveillance in a large scale is still very challenging, the compa…

Cited by 22SourceScholar
2017

Estimating the Leaf Area Index of crops through the evaluation of 3D models

IROS 2017poster

Financial and social elements of modern societies are closely connected to the cultivation of corn. Due to the massive production of corn, deficiencies during the cultivation process directly translate to major financial losses. The early detection and treatment of crops deficiencies is thus a task…

Cited by 23SourceScholar
2017

Learning Discriminative ab-Divergences for Positive Definite Matrices

ICCV 2017poster

Symmetric positive definite (SPD) matrices are useful for capturing second-order statistics of visual data. To compare two SPD matrices, several measures are available, such as the affine-invariant Riemannian metric, Jeffreys divergence, Jensen-Bregman logdet divergence, etc.; however, their behavio…

Cited by 6PDFScholar
2016

Active Constrained Clustering via non-iterative uncertainty sampling

IROS 2016poster

Active Constraint Learning (ACL) is continuously gaining popularity in the area of constrained clustering due to its ability to achieve performance gains via incorporating minimal feedback from a human annotator for selected instances. For constrained clustering algorithms, such instances are integr…

Cited by 4SourceScholar
2016

Automated coding of activity videos from an OCD study

ICRA 2016

Analysis of behavior using video is a promising approach for identifying risk markers for psychopathology that can be applied in a wide range of populations. Computer vision techniques are needed to automatically code behavior in order to reduce time and effort in these analyses. This paper discusse

Cited by 7SourceScholar
2015

Automation solutions for the evaluation of plant health in corn fields

IROS 2015poster

The continuously growing need for increasing the production of food and reducing the degradation of water supplies, has led to the development of several precision agriculture systems over the past decade so as to meet the needs of modern societies. The present study describes a methodology for the…

Cited by 41SourceScholar
2015

Classification of motor stereotypies in video

IROS 2015poster

Determining and detecting risk markers for mental illness remains a labor intensive process, requiring vast amounts of observations by clinical professionals. Motor stereotypies, which are defined as involuntary repetitive motor behaviors, invariant in form, that, to an observer, appear to serve no…

Cited by 19SourceScholar