Kinematic comparison of surgical tendon-driven manipulators and concentric tube manipulators

Abstract

Robot manipulators are increasingly used in minimally invasive surgery (MIS). They are required to have small size, wide workspace, adequate dexterity and payload ability when operating in confined surgical cavity. Snake-like flexible manipulators are well suited to these applications. However, conventional fully actuated snake-like flexible manipulators are difficult to miniaturize and even after miniaturization the payload is very limited. The alternative is to use underactuated snake-like flexible manipulators. Three prevailing designs are tendon-driven continuum manipulators (TCM), tendon-driven serpentine manipulators (TSM) and concentric tube manipulators (CTM). In this paper, the three designs are compared at the mechanism level from the kinematics point of view. The workspace and distal end dexterity are compared for TCM, TSM and CTM with one, two and three sections, respectively. Other aspects of these designs are also discussed, including sweeping motion, scaling, force sensing, stiffness control, etc. From the results, the tendon-driven designs and concentric tube design complement each other in terms of their workspace, which is influenced by the number of sections as well as the length distribution among sections. The tendon-driven designs entail better distal end dexterity while generate larger sweeping motion in positions close to the shaft.

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Hybrid Tele-Manipulation System Using a Sensorized 3-D-Printed Soft Robotic Gripper and a Soft Fabric-Based Haptic Glove

Abstract

This paper presents a hybrid tele-manipulation system, comprising of a sensorized 3D-printed soft robotic gripper and a soft fabric-based haptic glove, that aim at improving grasping manipulation and providing sensing feedback to the operators. The flexible 3D-printed soft robotic gripper broadens what a robotic gripper can do, especially for grasping tasks where delicate objects such as glassware are involved. It consists of four pneumatic finger actuators, casings with through hole for housing the actuators, and adjustable base. The grasping length and width can be configured easily to suit a variety of objects. The soft haptic glove is equipped with flex sensors and soft pneumatic haptic actuator, which enables the users to control the grasping, to determine whether the grasp is successful and to identify the grasped object shape. The fabric-based soft pneumatic haptic actuator can simulate haptic perception by producing force feedback to the users. Both the soft pneumatic finger actuator and haptic actuator involve simple fabrication technique, namely 3D-printed approach and fabric-based approach respectively, which reduce fabrication complexity as compared to the steps involved in traditional silicone-based approach. The sensorized soft robotic gripper is capable of picking up and holding a wide variety of objects in this study, ranging from lightweight delicate object weighing less than 50 g to objects weighing 1100 g. The soft haptic actuator can produce forces of up to 2.1 N, which is more than the minimum force of 1.5 N needed to stimulate haptic perception. The subjects are able to differentiate the two objects with significant shape differences in the pilot test. Compared to the existing soft grippers, this is the first soft sensorized 3D-printed gripper, coupled with a soft fabric-based haptic glove, that has the potential to improve the robotic grasping manipulation by introducing haptic feedback to the users.

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A Diaphragm Type Fiber Bragg Grating Vibration Sensor Based on Transverse Property of Optical Fiber With Temperature Compensation

Abstract
This paper has presented a novel diaphragm-type fiber Bragg grating (FBG) vibration sensor with a small mass and an excellent sensitivity through the use of the transverse property of a tightly suspended optical fiber with two fixed ends. Two suspended optical fibers that were embedded with an FBG element each, have been arranged symmetrically along the both sides of the diaphragm in a parallel manner, and their middle points were connected with the two surfaces of the mass by rigid thin rods to sense vibration. The theoretical model of the presented sensor has been derived, and its sensing characteristics have been analyzed by numerical simulation to determine the physical parameters. Experiments have been conducted to show that its sensitivity is 31.25 pm/g within a working bandwidth range of 10~150 Hz. The linearity and relative sensitivity errors are respectively 2.21% and ยฑ10%. The experimental resonant frequency of 300 Hz is consistent with the theoretical value, which has verified the effectiveness of the proposed theoretical model. The temperature response of this sensor has decreased to 1.32 pm/โ„ƒ in the range of 30~90 โ„ƒ after implementing the temperature compensation. Compared with the existing diaphragm-enabled FBG vibration sensors, the proposed sensor enables to support the easy implementation of distributed measurement, and the small mass allows for detection on mass-sensitive structures.

Safety-Enhanced Motion Planning for Flexible Surgical Manipulator Using Neural Dynamics

Abstract
Robot-assisted systems have been developed for minimally invasive surgical procedures, which bring tremendous benefits for patients, such as less trauma, less bleeding, and shorter recovery time. Among the contemporary surgical robotic manipulators, flexible serpentine manipulator shows great advantages on operating with complicated nonlinear anatomical constraints, and it can reach deep occluded surgical targets without colliding in a critical anatomical environment. In surgical robotic operation, less spatial sweeping area from the flexible manipulator in motions is desired to induce the minimal surgical complications. The goal of our research is to reduce unnecessary sweeping motion of the flexible surgical manipulator in operations, and to obtain safer and more reliable reference trajectories. A novel 3-D neural dynamic model is proposed and expected to obtain the safety-enhanced trajectory in workspace with the consideration of minimum sweeping area. In this model, the neural stimulation propagates from the start state to the whole network through the connective weight of manipulator’s sweeping area. According to the results of comparative studies with commonly used planning algorithms in various simulation scenarios, the proposed planning algorithm is validated in terms of effectiveness and safety. Ultimately, the experiments on phantoms and preclinical cadaveric human head show the feasibility of the proposed safety-enhanced planning algorithm.
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Fault Diagnosis in Image-Based Visual Servoing with Eye-in-Hand Configuration Using Kalman Filter

Abstract
In this paper, the fault diagnosis (FD) problem in image-based visual servoing with eye-in-hand configurations is investigated. The potential failures are detected and isolated based on approximating parameters related. First, the failure scenarios of the visual servoing systems are reviewed and classified into the actuator and sensor faults. Second, a residual generator is proposed to detect the failure occurrences, based on the Kalman filter. Third, a decision table is proposed to isolate the fault type. Finally, simulation and experimental results are given to validate the efficacy and the efficiency of the proposed FD strategies.
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A Novel 4-DOF Hybrid Magnetic Bearing for DGMSCMG

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In this paper, a novel structure of four degrees of freedom (4DOF) hybrid magnetic bearing is proposed for double gimbal magnetically suspended control momentum gyro (DGMSCMG). It includes two active parts and one passive part, and every active part has eight stator magnetic poles around the circumference in X and Y directions, which are divided into upper and lower layers. The passive part has two whole magnetic rings, which is located in the middle of this 4DOF hybrid magnetic bearing. The radial active force is analyzed by equivalent magnetic circuit method (EMCM) and the axial resilience force is analyzed by the infinitesimal method based on the end magnetic flux. Meanwhile, 3-D finite element model of the 4DOF hybrid magnetic bearing is establish with ANSYS software, and the radial displacement versus radial force, the current versus radial force, and the axial displacement versus axial resilience force characteristics are analyzed compared with the EMCM. Furthermore, the 10Nms DGMSCMG prototype with proposed 4DOF hybrid magnetic bearing is manufactured, and the experiments of the radial active force test and the axial resilience force test are carried out. Experimental results show that the presented 4DOF hybrid magnetic bearing has good force performance and verify the correctness of the theoretical analysis.
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Towards hybrid control of a flexible curvilinear surgical robot with visual/haptic guidance

Abstract

Comprised of multiple telescoptic precurved tubesthat can independently rotate and translate, concentric tuberobots (CTRs) are favorable in minimally invasive surgeriesthanks to their small size and considerable dexterity along withcurvilinear accessibility. However, there is a lack of investigationon improvement of the surgeonsโ€™ perception which in turn canbe used to guide the telemanipulation. In this work, we proposedan eye-in-hand con๏ฌguration for the concentric tube robot byadding an endoscope to the tip of the inner tube, which providesdirect and intuitive visual sensing ability for the operator. Basedon this visual feedback, we further developed two frameworksfor the hybrid control of CTR, namely Teleoperation BeforeVisual Servoing (TBVS) and Teleoperation During Visual Ser-voing (TDVS). The structures of these two frameworks wereelaborated with key algorithms derived. The effectiveness ofthe proposed methods were demonstrated through a series ofexperiments both in free space and in a con๏ฌned environment(inside a skull model). The results manifested that the visualguidance had the potential of assisting the operator to controlthe CTR more ef๏ฌciently.

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Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey

Abstract

Continuum robots provide inherent structural compliance with high dexterity to access the surgical target sites along tortuous anatomical paths under constrained environments, and enable to perform complex and delicate operations through small incisions in minimally invasive surgery. These advantages enable their broad applications with minimal trauma, and make challenging clinical procedures possible with miniaturized instrumentation and high curvilinear access capabilities. However, their inherent deformable designs make it difficult to realize three-dimensional (3D) intraoperative real-time shape sensing to accurately model their shape. Solutions to this limitation can lead themselves to further develop closely associated techniques of closed-loop control, path planning, humanโ€“robot interaction and surgical manipulation safety concerns in minimally invasive surgery. Although extensive model-based research that relies on kinematics and mechanics has been performed, accurate shape sensing of continuum robots remains challenging, particularly in cases of unknown and dynamic payloads. This survey investigates the recent advances in alternative emerging techniques for 3D shape sensing in this field, and focuses on the following categories: fiber optic sensors based, electromagnetic tracking based and intraoperative imaging modalities based shape reconstruction methods. The limitations of existing technologies and prospects of new technologies are also discussed.

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Data-Defect Inspection With Kernel-Neighbor-Density-Change Outlier Factor

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Data-defect would affect the data quality and the analysis results of data mining. This paper presents a data-defect inspection method with kernel-neighbor-density-change outlier factor (KNDCOF). The definition of kernel neighbor density is proposed to represent the density of each object in database, and the ascending distance series (ADS) of each object is calculated based on the kernel distance between the object and its neighbors. Then, the average density fluctuation (ADF) of the object is established according to the weighted sum of the square of density difference between the object and others in ADS. Finally, the KNDCOF of the object is equal to the ratios of the ADF of the object and the average ADF of neighbors of the object. The degree of the object being an outlier is indicated by the KNDCOF value. The experiments are performed on three real data sets to evaluate the effectiveness of the proposed method. The experimental results verify that the proposed method has higher quality of data-defect inspection and does not increase the time complexity.

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Positioning evaluation of tendon-driven flexible manipulators based on interval analysis

Abstract

Tendon-driven flexible manipulators have diverse applications. However, kinematic errors are one of main sources of the positioning inaccuracy for the manipulators. An interval-Analysis-based approach is applied to evaluate the positioning performance by imposing bounds on the kinematic parameters and control input. Simulation results confirm that the calculated intervals and refined bounds fully enclose the tip positions.

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