2023
DOI: 10.1109/tase.2022.3189339
|View full text |Cite
|
Sign up to set email alerts
|

A Flexible and Fully Autonomous Breast Ultrasound Scanning System

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
3

Relationship

0
6

Authors

Journals

citations
Cited by 10 publications
(4 citation statements)
references
References 34 publications
0
4
0
Order By: Relevance
“…In this work, the displacement x in Eq. (3) of the cartesian impedance controller is appropriately set to ensure safety during the contact tasks [10] and calculated by:…”
Section: B Energy Tank-enhanced System Passivitymentioning
confidence: 99%
See 2 more Smart Citations
“…In this work, the displacement x in Eq. (3) of the cartesian impedance controller is appropriately set to ensure safety during the contact tasks [10] and calculated by:…”
Section: B Energy Tank-enhanced System Passivitymentioning
confidence: 99%
“…4, the "soft" one is an artificial soft tissue, and the "rigid" one is made of foam and a bit harder but still deformable during the contact. The desired contact forces are set at three different levels as 𝑭 𝒅𝒆𝒔 = [7, 10, 15] N, and the scanning speed is set as 8 mm/s, which is defined as refers to the Ultrasound imaging task scanning speed [10], [14], [23]. Furthermore, to investigate the robustness of the proposed framework, experiments are also implemented with the setups of scanning from the "rigid to soft" (R2S) and from "soft to rigid" (S2R), respectively.…”
Section: B Experiments Protocolmentioning
confidence: 99%
See 1 more Smart Citation
“…In comparison, an autonomous ultrasound scanning robot possesses both high-level navigation/planning ability and low-level interaction control ability [2]. The navigation systems can update the desired pose of the ultrasound probe online based on the data from sensors (such as force sensors, depth cameras, and the ultrasound images themselves) to obtain high-quality ultrasound images [8]- [10]. Some works utilized reinforcement learning (RL) for navigation systems [11], [12] and achieved good performance at the price of low data efficiency.…”
Section: A Ultrasound Scanning Robotmentioning
confidence: 99%