2013
DOI: 10.1002/rcs.1531
|View full text |Cite
|
Sign up to set email alerts
|

Visual servoing in medical robotics: a survey. Part I: endoscopic and direct vision imaging - techniques and applications

Abstract: The main challenges in using visual servoing for medical robotic applications are identified and potential future directions are suggested. 'Supervised automation of medical robotics' is found to be a major trend in this field.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
46
0
1

Year Published

2014
2014
2022
2022

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 68 publications
(50 citation statements)
references
References 65 publications
0
46
0
1
Order By: Relevance
“…A robust and reliable tracking method for US images is not yet available. For a more detailed discussion of this challenging problem, see Part I .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…A robust and reliable tracking method for US images is not yet available. For a more detailed discussion of this challenging problem, see Part I .…”
Section: Resultsmentioning
confidence: 99%
“…Simulations were performed to show the efficacy of this technique for transapical valvuloplasty on a beating heart. The structure proposed in is a variation of configuration C [Figure 1c, Part I of the survey ].…”
Section: Methodsmentioning
confidence: 99%
“…There are some works in the literature that deal with the control and guidance of instruments using visual feedback, see [6] for a comprehensive survey on this topic. The singlecamera 3D positioning problem is addressed by Krupa et al in [7]; this work presents a method to regulate the distance between an instrument that continuously projects a laser pattern and an organ.…”
Section: Introductionmentioning
confidence: 99%
“…In many cases, the robot’s performance depends heavily on its ability to obtain accurate information about the spatial positioning of the tools and the target. This positioning information may then be used as feedback in the robot’s motion control scheme [3], [4]. …”
Section: Introductionmentioning
confidence: 99%