Medical robotics

Boubaker, Olfa

doi:10.1016/b978-0-12-821350-6.00007-x

Cited by 21 publications

(9 citation statements)

References 165 publications

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“…Robots are widely used in medical applications such as surgery, diagnosing, drug delivery. Also, assistive robots are used to simulate the human body for prosthetic limbs, artificial organs, and body parts simulation devices [4]. Paediatrics is one of the branches that has benefited from robotic assistance currently available or being developed in a variety of settings [5].…”

Section: Mobile Robot Applicationsmentioning

confidence: 99%

“…Three scenarios were (including dynamic obstacles) applied to test the system. Table (4) summaries the PSO papers.…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

“…Solid line: feasible path ; dashed line : infeasible path.A simulation is introduced by using two mobile robots, each mobile robot has its own start and target. The path is represented in the genetic algorithm by the nodes of the path as it is clear in Figure(4).…”

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confidence: 99%

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Assessment and Review of the Reactive Mobile Robot Navigation

Yosif¹,

Mahmood²,

Al-Khayyt³

2021

(AREJ)

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Nowadays, the mobile robot can be seen in different fields of engineering and science. The mobile robot can do some tasks that are so difficult or very risky to be performed by a human. Most of the works currently focus on implementing artificially intelligent algorithms and other algorithms that depend on the behaviour of nature. These approaches have been used in mobile robot navigation along uncertain manner. Mobile robot navigation strategies can be divided into two approaches: the classical approach and reactive approach. The classical approach related to static environment, whiles the reactive navigation is based on an unstructured environment. Path planning is one of the most important parts of the navigation system. In this paper, review and assessment of path planning strategies that can concern with the reactive approach are discussed, because it deal with the problem of dynamic environment. Numerous reactive methods have been introduced. Most of these presented works were concerned with simulation and a few of them have shown experimental implementation. Many papers tried to make a combination between two algorithms or more to increase the efficiency. It is concluded that reactive algorithms need more learning phases, complex in design, and require large memory storage.

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Section: Mobile Robot Applicationsmentioning

confidence: 99%

“…Three scenarios were (including dynamic obstacles) applied to test the system. Table (4) summaries the PSO papers.…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

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Assessment and Review of the Reactive Mobile Robot Navigation

Yosif¹,

Mahmood²,

Al-Khayyt³

2021

(AREJ)

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“…In recent years, with the continuous development of artificial intelligence, the application of robotics in the medical field has become more and more extensive. 10,11 The robots have the ability to work in a narrow space, good stability, and high efficiency, which are difficult for humans to achieve, so they can replace the doctor to complete more sophisticated clinical operations. 12–15 Human-computer interaction is realized while improving the accuracy of robot surgery.…”

Section: Introductionmentioning

confidence: 99%

Breast intervention surgery robot under image navigation: A review

Zhang

et al. 2021

Advances in Mechanical Engineering

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In recent years, breast cancer incidence has increased year by year, which makes research on treatment methods critical. Intervention surgery is a new development in breast cancer treatment. However, the operation is complicated and lasts for a long time. The doctor’s operation can no longer meet clinical needs. The breast intervention robot has the characteristics of minimal invasiveness, operability, and high flexibility so that it can compensate for the shortcomings of traditional interventional surgery. The combination of the robotic system and medical imaging technology is an important means to determine the lesion location and plan the puncture path. This article mainly reviews the breast intervention robot under image navigation. Based on existing literature, image navigation methods are divided into MRI, ultrasound, and CT for the introduction. First, we summarized the principles and technologies associated with materials, sensors, and actuators used in the MRI-guided breast intervention robot. In particular, the actuation is analyzed and compared in detail. Subsequently, the ultrasound-guided and CT-guided breast intervention robots are introduced. After that, we discuss the image-guided positioning technology. Finally, we summarize the research progress and trends in the future development of breast intervention robots under image navigation.

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“…Medical robotics has now successfully been integrated into a range of medical procedures. These include, among others, various endoscopic procedures, orthopedics, radiotherapy, neurosurgical interventions and biopsies [20,23,24]. However, the introduction of robots to the medical world is just starting, and continuous technological advancements will lead to the integration of interventional robots in even more areas [20].…”

Section: Industrialmentioning

confidence: 99%

Robot-assisted biopsies on mr-detected lesions

Welleweerd¹

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Medical robotics

Cited by 21 publications

References 165 publications

Assessment and Review of the Reactive Mobile Robot Navigation

Assessment and Review of the Reactive Mobile Robot Navigation

Breast intervention surgery robot under image navigation: A review

Robot-assisted biopsies on mr-detected lesions

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