scholarly journals Dionis: A Novel Remote-Center-of-Motion Parallel Manipulator for Minimally Invasive Surgery

2011 ◽  
Vol 8 (2) ◽  
pp. 191-208 ◽  
Author(s):  
R. Beira ◽  
L. Santos-Carreras ◽  
G. Rognini ◽  
H. Bleuler ◽  
R. Clavel

The large volume and reduced dexterity of current surgical robotic systems are factors that restrict their effective performance. To improve the usefulness of surgical robots in minimally invasive surgery (MIS), a compact and accurate positioning mechanism, namedDionis, is proposed in this paper. This spatial hybrid mechanism based on a novel parallel kinematics is able to provide three rotations and one translation for single port procedures. The corresponding axes intersect at a remote center of rotation (RCM) that is the MIS entry port. Another important feature of the proposed positioning manipulator is that it can be placed below the operating table plane, allowing a quick and direct access to the patient, without removing the robotic system. This, besides saving precious space in the operating room, may improve safety over existing solutions. The conceptual design of Dionis is presented in this paper. Solutions for the inverse and direct kinematics are developed, as well as the analytical workspace and singularity analysis. Due to its unique design and kinematics, the proposed mechanism is highly compact, stiff and its dexterity fullfils the workspace specifications for MIS procedures.

Author(s):  
Martin Wagner ◽  
Andreas Bihlmaier ◽  
Hannes Götz Kenngott ◽  
Patrick Mietkowski ◽  
Paul Maria Scheikl ◽  
...  

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.


Robotica ◽  
2018 ◽  
Vol 37 (7) ◽  
pp. 1202-1213 ◽  
Author(s):  
C. A. Nelson ◽  
M. A. Laribi ◽  
S. Zeghloul

SUMMARYSerial spherical linkages have been used in the design of a number of robots for minimally invasive surgery, in order to mechanically constrain the surgical instrument with respect to the incision. However, the typical serial spherical mechanism suffers from conflicting design objectives, resulting in an unsuitable compromise between avoiding collision with the patient and producing good kinematic and workspace characteristics. In this paper, we propose a multi-robot system composed of two redundant serial spherical linkages to achieve this purpose. A multi-objective optimization for achieving the aforementioned design goals is presented first for a single redundant robot and then for a multi-robot system. The problem of mounting multiple robots on the operating table as well as the way cooperative actions can be performed is addressed. The sensitivity of each optimal solution (single-robot and multi-robot) to uncertainties in the design parameters is investigated.


2019 ◽  
Vol 10 (1) ◽  
pp. 30-43 ◽  
Author(s):  
Fanny Ficuciello ◽  
Guglielmo Tamburrini ◽  
Alberto Arezzo ◽  
Luigi Villani ◽  
Bruno Siciliano

AbstractThis article focuses on ethical issues raised by increasing levels of autonomy for surgical robots. These ethical issues are explored mainly by reference to state-ofart case studies and imminent advances in Minimally Invasive Surgery (MIS) and Microsurgery. In both area, surgicalworkspace is limited and the required precision is high. For this reason, increasing levels of robotic autonomy can make a significant difference there, and ethically justified control sharing between humans and robots must be introduced. In particular, from a responsibility and accountability perspective suitable policies for theMeaningfulHuman Control (MHC) of increasingly autonomous surgical robots are proposed. It is highlighted how MHC should be modulated in accordance with various levels of autonomy for MIS and Microsurgery robots. Moreover, finer MHC distinctions are introduced to deal with contextual conditions concerning e.g. soft or rigid anatomical environments.


2013 ◽  
Vol 198 ◽  
pp. 3-8 ◽  
Author(s):  
Roman Trochimczuk

In this article only a few aspects of designing the surgical manipulator's arm will be chosen with the consideration of the kinematic structure of mechanical actuators system together with the description of requirements and the assumption for the execution system. The conception of surgical robots arm will be presented with parallelogram mechanism which increases the rigidity of the construction along with defining of kinematics matrix which describes a forward kinematics task. The aspect of limitation of the Denavit-Hartenberg method encountered by the author during the kinematics analysis of mechanism will be discussed and the solution of this systems issue will be given in this paper.


Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 844
Author(s):  
Zhou An ◽  
Honghai Ma ◽  
Lilu Liu ◽  
Yue Wang ◽  
Haojian Lu ◽  
...  

Intra-operative target pose estimation is fundamental in minimally invasive surgery (MIS) to guiding surgical robots. This task can be fulfilled by the 2-D/3-D rigid registration, which aligns the anatomical structures between intra-operative 2-D fluoroscopy and the pre-operative 3-D computed tomography (CT) with annotated target information. Although this technique has been researched for decades, it is still challenging to achieve accuracy, robustness and efficiency simultaneously. In this paper, a novel orthogonal-view 2-D/3-D rigid registration framework is proposed which combines the dense reconstruction based on deep learning and the GPU-accelerated 3-D/3-D rigid registration. First, we employ the X2CT-GAN to reconstruct a target CT from two orthogonal fluoroscopy images. After that, the generated target CT and pre-operative CT are input into the 3-D/3-D rigid registration part, which potentially needs a few iterations to converge the global optima. For further efficiency improvement, we make the 3-D/3-D registration algorithm parallel and apply a GPU to accelerate this part. For evaluation, a novel tool is employed to preprocess the public head CT dataset CQ500 and a CT-DRR dataset is presented as the benchmark. The proposed method achieves 1.65 ± 1.41 mm in mean target registration error(mTRE), 20% in the gross failure rate(GFR) and 1.8 s in running time. Our method outperforms the state-of-the-art methods in most test cases. It is promising to apply the proposed method in localization and nano manipulation of micro surgical robot for highly precise MIS.


2013 ◽  
Vol 8 (1) ◽  
pp. 70-79
Author(s):  
Alin Stoica ◽  
Doina Pisla ◽  
Szilaghyi Andras ◽  
Bogdan Gherman ◽  
Bela-Zoltan Gyurka ◽  
...  

Author(s):  
Chin-Hsing Kuo ◽  
Jian S. Dai

In robotically-assisted minimally invasive surgery (MIS), the provision of a decoupled remote center-of-motion (RCM) kinematics is a critical design challenge for surgical robots. However, although there have been numerous RCM robots developed, a fully decoupled four-degrees-of-freedom (DOF) RCM mechanism is still highly anticipated. In this paper, a 4-DOF parallel manipulator with a fully decoupled RCM is presented. First, the kinematic structure of the manipulator is described. Then, the fully decoupled motion, i.e., each of the four DOFs of the end-effector can be independently controlled by one corresponding actuated joint, is verified. Further, the inverse kinematics solutions are derived and the reachable workspace of tool tip is analyzed. As a result, the proposed manipulator is a feasible candidate for providing a fully decoupled surgical tool motion for minimally invasive surgery.


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