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Maria Grammatikopoulou

7 accepted papers

2023

Why Is the Winner the Best?

CVPR 2023poster

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and…

Cited by 29SourcePDFScholar
2019

Active Contraints for Tool-Shaft Collision Avoidance in Minimally Invasive Surgery

ICRA 2019poster

Recent advances in teleoperation-based robotic-assisted Minimally Invasive Surgery (MIS) have made significant inroads in clinical adoption. However, such master-slave surgical systems create a physical separation between the surgeon and the patient. The concept of Active Constraints (ACs) provides…

Cited by 17SourceScholar
2018

Depth Estimation of Optically Transparent Microrobots Using Convolutional and Recurrent Neural Networks

IROS 2018poster

Estimating the three-dimensional (3D) position of microrobots is necessary in order to develop closed-loop control techniques and to improve the user's 3D perception in the micro-scale. This paper describes a depth estimation method based on supervised learning for optically transparent microrobots…

Cited by 9SourceScholar
2016

Motor channelling for safe and effective dynamic constraints in Minimally Invasive Surgery

IROS 2016poster

Motor channelling is a concept to provide navigation and sensory feedback to operators in master-slave surgical setups. It is beneficial since the introduction of robotic surgery creates a physical separation between the surgeon and patient anatomy. Active Constraints/Virtual Fixtures are proposed w…

Cited by 7SourceScholar