Continuum robots: An overview
Herein, recent advances, current limitations, and open challenges in the design, modeling,
and control of continuum robots are discussed. Thanks to their lean bodies, these robots …
and control of continuum robots are discussed. Thanks to their lean bodies, these robots …
The impact of machine learning on 2d/3d registration for image-guided interventions: A systematic review and perspective
Image-based navigation is widely considered the next frontier of minimally invasive surgery.
It is believed that image-based navigation will increase the access to reproducible, safe, and …
It is believed that image-based navigation will increase the access to reproducible, safe, and …
Robust three-dimensional shape sensing for flexible endoscopic surgery using multi-core FBG sensors
In this letter, we propose a novel 3D shape sensing algorithm for flexible endoscopic surgery
using multi-core fiber Bragg grating (FBG) sensors. Considering the signal noises and …
using multi-core fiber Bragg grating (FBG) sensors. Considering the signal noises and …
Robust catheter tracking by fusing electromagnetic tracking, fiber bragg grating and sparse fluoroscopic images
Endovascular catheterization is an intervention which offers a low risk alternative to open
surgery in many patients. Today's interventions rely heavily on fluoroscopic imaging to guide …
surgery in many patients. Today's interventions rely heavily on fluoroscopic imaging to guide …
Continuum robots collaborate for safe manipulation of high-temperature flame to enable repairs in challenging environments
This letter presents two long continuum robots, inserted through small holes, and working
collaboratively in a crammed space to manipulate an extreme-temperature (> 2000° C) …
collaboratively in a crammed space to manipulate an extreme-temperature (> 2000° C) …
An enhanced Runge Kutta boosted machine learning framework for medical diagnosis
Z Qiao, L Li, X Zhao, L Liu, Q Zhang, H Shili… - Computers in Biology …, 2023 - Elsevier
With the development and maturity of machine learning methods, medical diagnosis aided
with machine learning methods has become a popular method to assist doctors in …
with machine learning methods has become a popular method to assist doctors in …
An efficient rotational direction heap-based optimization with orthogonal structure for medical diagnosis
The heap-based optimizer (HBO) is an optimization method proposed in recent years that
may face local stagnation problems and show slow convergence speed due to the lack of …
may face local stagnation problems and show slow convergence speed due to the lack of …
Adaptive Online Learning and Robust 3-D Shape Servoing of Continuum and Soft Robots in Unstructured Environments
In this article, we present a novel and generic data-driven method to servo-control the 3-D
shape of continuum and soft robots based on proprioceptive sensing feedback …
shape of continuum and soft robots based on proprioceptive sensing feedback …
Autonomous intelligent navigation for flexible endoscopy using monocular depth guidance and 3-D shape planning
Recent advancements toward perception and decision-making of flexible endoscopes have
shown great potential in computer-aided surgical interventions. However, owing to modeling …
shown great potential in computer-aided surgical interventions. However, owing to modeling …
Fluoroscopic navigation for a surgical robotic system including a continuum manipulator
We present an image-based navigation solution for a surgical robotic system with a
Continuum Manipulator (CM). Our navigation system uses only fluoroscopic images from a …
Continuum Manipulator (CM). Our navigation system uses only fluoroscopic images from a …