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Stamatia Giannarou

7 accepted papers

2025

SurgPose: Generalisable Surgical Instrument Pose Estimation Using Zero-Shot Learning and Stereo Vision

ICRA 2025

Accurate pose estimation of surgical tools in Robot-assisted Minimally Invasive Surgery (RMIS) is essential for surgical navigation and robot control. While traditional marker-based methods offer accuracy, they face challenges with occlusions, reflections, and tool-specific designs. Similarly, super

Cited by 0SourceScholar
2023

Graph-based Pose Estimation of Texture-less Surgical Tools for Autonomous Robot Control

ICRA 2023poster

In Robot-assisted Minimally Invasive Surgery (RMIS), the estimation of the pose of surgical tools is crucial for applications such as surgical navigation, visual servoing, autonomous robotic task execution and augmented reality. A plethora of hardware-based and vision-based methods have been propose…

Cited by 7SourceScholar
2022

Towards Autonomous Control of Surgical Instruments using Adaptive-Fusion Tracking and Robot Self-Calibration

IROS 2022poster

The ability to track surgical instruments in realtime is crucial for autonomous Robotic Assisted Surgery (RAS). Recently, the fusion of visual and kinematic data has been proposed to track surgical instruments. However, these methods assume that both sensors are equally reliable, and cannot successf…

Cited by 8SourceScholar
2021

MAMMOBOT: A Miniature Steerable Soft Growing Robot for Early Breast Cancer Detection

RA-L 2021

This letter presents MAMMOBOT, one of the first millimetre-scale steerable soft growing robots for medical applications. MAMMOBOT aims to access the breast through the nipple and navigate the mammary ducts to detect precursors of invasive breast cancers. Addressing limitations of the state-of-the-ar

Cited by 50SourceScholar
2020

Autonomous Tissue Scanning under Free-Form Motion for Intraoperative Tissue Characterisation

ICRA 2020poster

In Minimally Invasive Surgery (MIS), tissue scanning with imaging probes is required for subsurface visualisation to characterise the state of the tissue. However, scanning of large tissue surfaces in the presence of motion is a challenging task for the surgeon. Recently, robot-assisted local tissue…

Cited by 30SourceScholar
2018

A Framework for Sensorless Tissue Motion Tracking in Robotic Endomicroscopy Scanning

ICRA 2018poster

Recent advances in probe-based Confocal Laser Endomicroscopy (pCLE) enable real-time, in situ and in vivo tissue assessment at the micro scale. The limited field-of-view offered by pCLE necessitates the use of mosaicking to allow for accurate tissue characterization from the incoming image stream. H…

Cited by 9SourceScholar
2016

SCEM+: Real-Time Robust Simultaneous Catheter and Environment Modeling for Endovascular Navigation

RA-L 2016

Endovascular procedures are characterised by significant challenges mainly due to the complexity in catheter control and navigation. Real-time recovery of the 3-D structure of the vasculature is necessary to visualise the interaction between the catheter and its surrounding environment to facilitate

Cited by 17SourceScholar