Toward human-robot collaboration in surgery: Performance assessment of human and robotic agents in an inclusion segmentation task

Kaplan, Kirsten E.; Nichols, Kirk A.; Okamura, Allison M.

doi:10.1109/icra.2016.7487199

Cited by 19 publications

(6 citation statements)

References 19 publications

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“…specializing on task-oriented applications [133], [150], [247]. Various applications have been explored, from focusing their attention on human-robot interaction approaches [60], [149],…”

Section: Database Search and Filteringmentioning

confidence: 99%

Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

D'Ettorre

Mariani

Stilli

et al. 2021

IEEE Robot. Automat. Mag.

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This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.R obotic-assisted surgery is now well established in clinical practice and has become the gold-standard clinical treatment option for several clinical indications. The field of robotic-assisted surgery is expected to grow substantially in the next decade, with a range of new robotic devices emerging to address unmet clinical needs across different specialties. A vibrant surgical robotics research community is pivotal for conceptualizing such new systems as well as for developing and training the engineers and scientists to translate them into practice. The da Vinci Research Kit (dVRK), an academic and industry collaborative effort to repurpose decommissioned da Vinci surgical systems [Intuitive Surgical Inc. (ISI), California, USA] as a research platform for surgical robotics research, has been a key initiative for addressing a barrier to entry for new research groups in surgical robotics. In this article, we present an extensive review of the publications that have been facilitated by the dVRK over the past decade. We classify research efforts into different categories and outline some of the major challenges and needs for the robotics community to maintain and build upon this initiative.

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“…specializing on task-oriented applications [133], [150], [247]. Various applications have been explored, from focusing their attention on human-robot interaction approaches [60], [149],…”

Section: Database Search and Filteringmentioning

confidence: 99%

Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

D'Ettorre

Mariani

Stilli

et al. 2021

IEEE Robot. Automat. Mag.

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“…With the growing number of robotic applications, new challenges also arise, for which autonomous robot capabilities may be able to provide a solution (Kaplan, Nichols & Okamura, 2016). Nevertheless, the widening adoption of service robots in the surgical domain also increases the incidence of malfunctions, potential injuries and damage.…”

Section: Solutions and Recommendationsmentioning

confidence: 99%

Autonomous Surgical Robotics at Task and Subtask Levels

Nagy

Haidegger

2020

Advances in Computational Intelligence and Robotics

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The revolution of minimally invasive procedures had a significant influence on surgical practice, opening the way to laparoscopic surgery, then evolving into robotics surgery. Teleoperated master-slave robots, such as the da Vinci Surgical System, has become a standard of care during the last few decades, performing over a million procedures per year worldwide. Many believe that the next big step in the evolution of surgery is partial automation, which would ease the cognitive load on the surgeon, making them possible to pay more attention on the critical parts of the intervention. Partial and sequential introduction and increase of autonomous capabilities could provide a safe way towards Surgery 4.0. Unfortunately, autonomy in the given environment, consisting mostly of soft organs, suffers from grave difficulties. In this chapter, the current research directions of subtask automation in surgery are to be presented, introducing the recent advances in motion planning, perception, and human-machine interaction, along with the limitations of the task-level autonomy.

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“…Robots can be used for a wide range of purposes and with recent advancements in the robotic field, they have become available in many aspects of human life. Robots had a significant impact in many sectors, such as manufacturing operation 1 , teleportation application 2 , intelligent vehicles and air-crafts 3 , entertainment and education 4 , assistive and rehabilitation technology 5 , and robot-assisted surgery 6 . Among these, the assistive and rehabilitation field has the most direct effect on people’s lives.…”

Section: Introductionmentioning

confidence: 99%

Brain-computer interface for robot control with eye artifacts for assistive applications

Karas,

Pozzi,

Pedrocchi

et al. 2023

Sci Rep

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Human-robot interaction is a rapidly developing field and robots have been taking more active roles in our daily lives. Patient care is one of the fields in which robots are becoming more present, especially for people with disabilities. People with neurodegenerative disorders might not consciously or voluntarily produce movements other than those involving the eyes or eyelids. In this context, Brain-Computer Interface (BCI) systems present an alternative way to communicate or interact with the external world. In order to improve the lives of people with disabilities, this paper presents a novel BCI to control an assistive robot with user’s eye artifacts. In this study, eye artifacts that contaminate the electroencephalogram (EEG) signals are considered a valuable source of information thanks to their high signal-to-noise ratio and intentional generation. The proposed methodology detects eye artifacts from EEG signals through characteristic shapes that occur during the events. The lateral movements are distinguished by their ordered peak and valley formation and the opposite phase of the signals measured at F7 and F8 channels. This work, as far as the authors’ knowledge, is the first method that used this behavior to detect lateral eye movements. For the blinks detection, a double-thresholding method is proposed by the authors to catch both weak blinks as well as regular ones, differentiating itself from the other algorithms in the literature that normally use only one threshold. Real-time detected events with their virtual time stamps are fed into a second algorithm, to further distinguish between double and quadruple blinks from single blinks occurrence frequency. After testing the algorithm offline and in realtime, the algorithm is implemented on the device. The created BCI was used to control an assistive robot through a graphical user interface. The validation experiments including 5 participants prove that the developed BCI is able to control the robot.

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Toward human-robot collaboration in surgery: Performance assessment of human and robotic agents in an inclusion segmentation task

Cited by 19 publications

References 19 publications

Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

Autonomous Surgical Robotics at Task and Subtask Levels

Brain-computer interface for robot control with eye artifacts for assistive applications

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