Planning for Flexible Surgical Robots via Bézier Spline Translation

2019 ◽  
Vol 4 (4) ◽  
pp. 3270-3277
Author(s):  
Johannes Fauser ◽  
Stefan Seelecke ◽  
Roland Werthschutzky ◽  
Mario Kupnik ◽  
Anirban Mukhopadhyay ◽  
...  
Keyword(s):  
Surgical Robots ◽  
Bézier Spline

scholarly journals Catalogue of hazards: a fundamental part for the safe design of surgical robots

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Lukas Theisgen ◽  
Florian Strauch ◽  
Matías de la Fuente ◽  
Klaus Radermacher
Keyword(s):  
Development Process ◽  
New Technologies ◽  
State Of The Art ◽  
Hazard Identification ◽  
Surgical Robots ◽  
Safety Measures ◽  
Fundamental Part ◽  
Phases Of Development ◽  
Early Phases ◽  
Intended Use

AbstractRisk classes defined by MDR and FDA for state-of-the-art surgical robots based on their intended use are not suitable as indicators for their hazard potential. While there is a lack of safety regulation for an increasing degree of automation as well as the degree of invasiveness into the patient’s body, adverse events have increased in the last decade. Thus, an outright identification of hazards as part of the risk analysis over the complete development process and life cycle of a surgical robot is crucial, especially when introducing new technologies. For this reason, we present a comprehensive approach for hazard identification in early phases of development. With this multi-perspective approach, the number of hazards identified can be increased. Furthermore, a generic catalogue of hazards for surgical robots has been established by categorising the results. The catalogue serves as a data pool for risk analyses and holds the potential to reduce hazards through safety measures already in the design process before becoming risks for the patient.

scholarly journals A learning robot for cognitive camera control in minimally invasive surgery

2021 ◽  
Author(s):  
Martin Wagner ◽  
Andreas Bihlmaier ◽  
Hannes Götz Kenngott ◽  
Patrick Mietkowski ◽  
Paul Maria Scheikl ◽  
...  
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
Autonomous Systems ◽  
Robot Kinematics ◽  
Learning Context ◽  
Surgical Robots ◽  
Camera Control ◽  
Context Sensitive ◽  
Robotic Camera

Abstract Background We demonstrate the first self-learning, context-sensitive, autonomous camera-guiding robot applicable to minimally invasive surgery. The majority of surgical robots nowadays are telemanipulators without autonomous capabilities. Autonomous systems have been developed for laparoscopic camera guidance, however following simple rules and not adapting their behavior to specific tasks, procedures, or surgeons. Methods The herein presented methodology allows different robot kinematics to perceive their environment, interpret it according to a knowledge base and perform context-aware actions. For training, twenty operations were conducted with human camera guidance by a single surgeon. Subsequently, we experimentally evaluated the cognitive robotic camera control. A VIKY EP system and a KUKA LWR 4 robot were trained on data from manual camera guidance after completion of the surgeon’s learning curve. Second, only data from VIKY EP were used to train the LWR and finally data from training with the LWR were used to re-train the LWR. Results The duration of each operation decreased with the robot’s increasing experience from 1704 s ± 244 s to 1406 s ± 112 s, and 1197 s. Camera guidance quality (good/neutral/poor) improved from 38.6/53.4/7.9 to 49.4/46.3/4.1% and 56.2/41.0/2.8%. Conclusions The cognitive camera robot improved its performance with experience, laying the foundation for a new generation of cognitive surgical robots that adapt to a surgeon’s needs.

scholarly journals Room Size Influences Flow in Robotic-Assisted Surgery

2021 ◽  
Vol 18 (15) ◽  
pp. 7984
Author(s):  
Falisha Kanji ◽  
Tara Cohen ◽  
Myrtede Alfred ◽  
Ashley Caron ◽  
Samuel Lawton ◽  
...  
Keyword(s):  
New Technology ◽  
Surgical Robots ◽  
Physical Size ◽  
Robotic Assisted ◽  
Surgical Technology ◽  
Room Size ◽  
Robotic Assisted Surgery ◽  
Academic Hospitals ◽  
Environmental Causes ◽  
The Impact

The introduction of surgical technology into existing operating rooms (ORs) can place novel demands on staff and infrastructure. Despite the substantial physical size of the devices in robotic-assisted surgery (RAS), the workspace implications are rarely considered. This study aimed to explore the impact of OR size on the environmental causes of surgical flow disruptions (FDs) occurring during RAS. Fifty-six RAS procedures were observed at two academic hospitals between July 2019 and January 2021 across general, urologic, and gynecologic surgical specialties. A multiple regression analysis demonstrated significant effects of room size in the pre-docking phase (t = 2.170, df = 54, β = 0.017, p = 0.035) where the rate of FDs increased as room size increased, and docking phase (t = −2.488, df = 54, β = −0.017, p = 0.016) where the rate of FDs increased as room size decreased. Significant effects of site (pre-docking phase: p = 0.000 and docking phase: p = 0.000) were also demonstrated. Findings from this study demonstrate hitherto unrecognized spatial challenges involved with introducing surgical robots into the operating domain. While new technology may provide benefits towards patient safety, it is important to consider the needs of the technology prior to integration.

Kinematic Analysis and Optimization of a Novel Robot for Surgical Tool Manipulation

2008 ◽  
Author(s):  
Xiaoli Zhang ◽  
Carl A. Nelson
Keyword(s):  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Force Feedback ◽  
Robotic Systems ◽  
Small Space ◽  
Surgical Robots ◽  
Tool Positioning ◽  
Rotation Axes ◽  
Surgical Tool ◽  
Linear Nature

The size and limited dexterity of current surgical robotic systems are factors which limit their usefulness. To improve the level of assimilation of surgical robots in minimally invasive surgery (MIS), a compact, lightweight surgical robotic positioning mechanism with four degrees of freedom (DOF) (three rotational DOF and one translation DOF) is proposed in this paper. This spatial mechanism based on a bevel-gear wrist is remotely driven with three rotation axes intersecting at a remote rotation center (the MIS entry port). Forward and inverse kinematics are derived, and these are used for optimizing the mechanism structure given workspace requirements. By evaluating different spherical geared configurations with various link angles and pitch angles, an optimal design is achieved which performs surgical tool positioning throughout the desired kinematic workspace while occupying a small space bounded by a hemisphere of radius 13.7 cm. This optimized workspace conservatively accounts for collision avoidance between patient and robot or internally between the robot links. This resultant mechanism is highly compact and yet has the dexterity to cover the extended workspace typically required in telesurgery. It can also be used for tool tracking and skills assessment. Due to the linear nature of the gearing relationships, it may also be well suited for implementing force feedback for telesurgery.

scholarly journals Towards Surgical Robots

2019 ◽  
Author(s):  
Jeremy Opie ◽  
Anjali Jaiprakash ◽  
Bernd Ploderer ◽  
Margot Brereton ◽  
Jonathan Roberts
Keyword(s):  
Surgical Robots

scholarly journals Current Advances in Robotics for Head and Neck Surgery—A Systematic Review

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1398
Author(s):  
Felix Boehm ◽  
Rene Graesslin ◽  
Marie-Nicole Theodoraki ◽  
Leon Schild ◽  
Jens Greve ◽  
...  
Keyword(s):  
Systematic Review ◽  
Head And Neck ◽  
Large Scale ◽  
Case Series ◽  
Clinical Effectiveness ◽  
Neck Surgery ◽  
Head And Neck Surgery ◽  
Daily Routine ◽  
Surgical Robots ◽  
Standard Procedures

Background. In the past few years, surgical robots have recently entered the medical field, particularly in urology, gynecology, and general surgery. However, the clinical effectiveness and safety of robot-assisted surgery (RAS) in the field of head and neck surgery has not been clearly established. In this review, we evaluate to what extent RAS can potentially be applied in head and neck surgery, in which fields it is already daily routine and what advantages can be seen in comparison to conventional surgery. Data sources. For this purpose, we conducted a systematic review of trials published between 2000 and 2021, as well as currently ongoing trials registered in clinicaltrials.gov. The results were structured according to anatomical regions, for the topics “Costs,” “current clinical trials,” and “robotic research” we added separate sections for the sake of clarity. Results. Our findings show a lack of large-scale systematic randomized trials on the use of robots in head and neck surgery. Most studies include small case series or lack a control arm which enables a comparison with established standard procedures. Conclusion. The question of financial reimbursement is still not answered and the systems on the market still require some specific improvements for the use in head and neck surgery.

A Virtual Reality System for Pre-Planning of Robotic-Assisted Prostate Biopsy

2015 ◽  
Vol 772 ◽  
pp. 585-590
Author(s):  
Florin Gîrbacia ◽  
Silviu Butnariu ◽  
Daniel Voinea ◽  
Bogdan Tzolea ◽  
Teodora Gîrbacia ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Virtual Environment ◽  
Virtual Reality System ◽  
Surgical Robots ◽  
Robotic Assisted ◽  
Biopsy Procedure ◽  
Planning Software ◽  
Operative Planning ◽  
Serial Robot ◽  
Needle Trajectory

Surgical robots for biopsy procedure require pre-operative planning of trajectories prior to be used for needle guiding procedures. Virtual Reality (VR) technologies allow to simulate robotic biopsy procedure and to generate accurate needle trajectories that avoid vital organs. The paper presents a serial robot which can be used for biopsy procedure and a needle trajectory planning software based on VR technologies. A virtual environment has been modelled and simulations for robotic-assisted biopsy of the prostate have been performed.

scholarly journals An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions

Stats ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 1-17
Author(s):  
Samuele Tosatto ◽  
Riad Akrour ◽  
Jan Peters
Keyword(s):  
Upper Bound ◽  
Prediction Error ◽  
Kernel Estimator ◽  
Asymptotic Bias ◽  
Surgical Robots ◽  
Related Literature ◽  
Asymptotic Nature ◽  
Potential Applications ◽  
Self Driving Cars ◽  
Automated Decision Making

The Nadaraya-Watson kernel estimator is among the most popular nonparameteric regression technique thanks to its simplicity. Its asymptotic bias has been studied by Rosenblatt in 1969 and has been reported in several related literature. However, given its asymptotic nature, it gives no access to a hard bound. The increasing popularity of predictive tools for automated decision-making surges the need for hard (non-probabilistic) guarantees. To alleviate this issue, we propose an upper bound of the bias which holds for finite bandwidths using Lipschitz assumptions and mitigating some of the prerequisites of Rosenblatt’s analysis. Our bound has potential applications in fields like surgical robots or self-driving cars, where some hard guarantees on the prediction-error are needed.

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