Play Me Back: A Unified Training Platform for Robotic and Laparoscopic Surgery

Abdelaal, Alaa Eldin; Sakr, Maram; Avinash, Apeksha; Mohammed, Shahed K.; Bajwa, Armaan Kaur; Sahni, Mohakta; Hor, Soheil; Fels, Sidney; Salcudean, Septimiu E.

doi:10.1109/lra.2018.2890209

Cited by 14 publications

(10 citation statements)

References 22 publications

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“…Several studies proposed the development of training platforms in either a dry lab setting [20] or in simulation [21]. The research also focused on the development of training protocols, where the data from expert surgeons were used for mentoring [71], [119], [146] or the training curriculum was automatically adapted to the trainee [233], [235], [237], [261].…”

Section: Training Platforms and Protocolsmentioning

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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Section: Training Platforms and Protocolsmentioning

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.

View full text Add to dashboard Cite

show abstract

“…A user can then replay ondemand recorded procedure sections with the opportunity to watch stereo videos and simultaneously feel the recorded movements on the hand controllers, at adjustable speeds. This approach has been recently used in [78] to determine experimentally how a surgical robotic system can be used for training novice surgeons in conventional laparoscopic. These authors show that combining the playback function and discovery training (trainees learned a surgical task by themselves through trial and error) leads to the best accuracy compared with trainees who used playback or discovery alone.…”

Section: The Motivations For Telerobotics In Medicinementioning

confidence: 99%

Review of Advanced Medical Telerobots

et al. 2020

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The advent of telerobotic systems has revolutionized various aspects of the industry and human life. This technology is designed to augment human sensorimotor capabilities to extend them beyond natural competence. Classic examples are space and underwater applications when distance and access are the two major physical barriers to be combated with this technology. In modern examples, telerobotic systems have been used in several clinical applications, including teleoperated surgery and telerehabilitation. In this regard, there has been a significant amount of research and development due to the major benefits in terms of medical outcomes. Recently telerobotic systems are combined with advanced artificial intelligence modules to better share the agency with the operator and open new doors of medical automation. In this review paper, we have provided a comprehensive analysis of the literature considering various topologies of telerobotic systems in the medical domain while shedding light on different levels of autonomy for this technology, starting from direct control, going up to command-tracking autonomous telerobots. Existing challenges, including instrumentation, transparency, autonomy, stochastic communication delays, and stability, in addition to the current direction of research related to benefit in telemedicine and medical automation, and future vision of this technology, are discussed in this review paper.

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“…The limitation with these setups is that when it comes to simulating flexible visco-elastic materials such as body tissues and their physical interactions with tools, there is still a big simulation to reality gap. An advantage of these training setups is that they can be used to transfer acquired skills from the recorded sessions of experienced surgeons and use them through replaying them to guide the novice surgeons and accelerate their learning curve (Abdelaal et al, 2019). While these virtual systems are useful for surgical training, our system is an actual physical system which can better emulate the physical interaction in and with a real robotic surgery environment.…”

Section: Introductionmentioning

confidence: 99%

Development of a Robotic Surgery Training System

et al. 2022

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Robotic Surgery is getting widely spread and applied to more and more clinical cases due to its advantages compared to open surgery, for both the patients and surgeons. However, Robotic Surgery requires a different set of skills and learning compared to open and also laparoscopic surgery. Tele-operation for a robotic system with hand controllers, the delay in the hand commands to be translated into robotic movements, slowness of the robotic movements, remote 2D or 3D vision of the actual operation, and lack of haptic feedback are some of the challenges that Robotic Surgery poses. Surgeons need to go through an intensive training for Robotic Surgery, and the learning and skill development continues throughout their early professional years. Despite the importance of training for Robotic Surgery, there are not yet dedicated, low-cost, and widespread training platforms; rather, surgeons mostly train with the same Robotic Surgery system they use in surgery; hence institutions need to invest on a separate surgical setup for training purposes. This is expensive for the institutions, it provides very limited access to the surgeons for training, and very limited, if any, access to researchers for experimentation. To address these, we have developed in our laboratory a low-cost, and experimental Robotic Surgery Trainer. This setup replicates the challenges that a Robotic Surgery system poses and further provides widespread access through internet connected control of the actual physical system. The overall system is composed of equipment that a standard engineering laboratory can afford. In this paper, we introduce the Robotic Surgery Training System and explain its development, parts, and functionality.

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Play Me Back: A Unified Training Platform for Robotic and Laparoscopic Surgery

Cited by 14 publications

References 22 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

Review of Advanced Medical Telerobots

Development of a Robotic Surgery Training System

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