Category: Publications
Data-driven methods towards learning the highly nonlinear inverse kinematics of tendon-driven surgical manipulators: XWJ_IJMRAS_IK_KNNR_GMR_ELM
Prototyping and characterisation of a variable stiffness actuation mechanism based on low melting point polymer
Abstract:
With the advent of automation and robotic systems, flexible robotic manipulators are becoming increasingly popular in various applications where safe interaction with surrounding
environments is needed. This project aims to investigate stiffness varying technology for a class of flexible manipulators with the aim of online changing manipulator stiffness. We propose and develop a stiffness varying mechanism based on low melting point Polycaprolactone (PCL), characterize it and test out together with extensive experiments. The proposed mechanism is further integrated into a tendon-driven flexible manipulator and it successfully change the overall stiffness of the manipulator. This paper mainly involves design improvement, modeling, characterization and hands-on experiments.
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Finding the Kinematic Base Frame of a Robot by Hand-Eye Calibration Using 3D Position Data
Abstract
When a robot is required to perform specific tasks defined in the world frame, there is a need for finding the coordinate transformation between the kinematic base frame of the robot and the world frame. The kinematic base frame used by the robot controller to define and evaluate the kinematics may deviate from the mechanical base frame constructed based on structural features. Besides, by using kinematic modeling rules such as the product of exponentials (POE) formula, the base frame can be arbitrarily located, and does not have to be related to any feature of the mechanical structure. As a result, the kinematic base frame cannot be measured directly. This paper proposes to find the kinematic base frame by solving a hand-eye calibration problem using 3D position measurements only, which avoids the inconvenience and inaccuracy of measuring orientations and thus significantly facilitates practical operations. A closed-form solution and an iterative solution are explicitly formulated and proved effective by simulations. Comprehensive analyses of the impact of key parameters to the accuracy of the solution are also carried out, providing four guidelines to better conduct practical operations. Finally, experiments on a 7-DOF industrial robot are performed with an optical tracking system to demonstrate the superiority of the proposed method using position data only over the method using full pose data.
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Prototype Development of a Hand-Held Robotic Light Pipe for Intraocular Procedures
Abstract
Light pipe is a tool providing illumination for delicate operations inside the eyeball in an eye surgery. Traditional light pipes with straight shafts have to be reoriented in order to enlarge its illustration range, which implies more risk of damage to the sclera and requires greater operation space for the handle. In order to overcome these limitations, this paper has proposed a novel robotized handheld light pipe based on concentric tubular structure. Tube parameters are selected based on the anatomical dimension of eyeballs. Novel actuation designs are described to meet the requirements of the intraocular procedures. Intuitive control scheme is implemented to facilitate surgeons’ operations. Furthermore, the benefit of the precurved tube compared with that of a straight tube is evaluated through experiments. It has been demonstrated that the proposed design as a light pipe holds the promise of enhancing intraocular surgeries.
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Design of a Novel Flexible Endoscope – Cardioscope
Abstract
In this paper, we present a novel flexible endoscope (FE) which is well suited to minimally invasive cardiac surgery (MICS). It is named the cardioscope. The cardioscope is composed of a handle, a rigid shaft, a steerable flexible section, and the imaging system. The fexible section is composed of an elastic tube, a number of spacing disks, a constraint tube, and four wires. It employs the constrained wire-driven fexible mechanism (CWFM) with a continuum backbone, which enables the control of both the angulation and the length of the flexible section. Compared to other endoscopes, e.g., rigid endoscope (RE) and fixed-length FE, the cardioscope is much more dexterous. The cardioscope can bend over 180 deg in all directions, and the bending is decoupled from the distal tip position. Ex vivo tests show that the cardioscope is well suited to MICS. It provides much wider scope of vision than REs and provides good manipulation inside confned environments. In tests, the cardioscope successfully explored the full heart through a single hole, which shows that the design is promising. Despite being designed for MICS, the cardioscope can also be applied to other minimally invasive surgeries (MISs), such as laparoscopy, neurosurgery, transnasal surgery, and transoral surgery.
Kinematic Analysis and Motion Control of Wheeled Mobile Robots in Cylindrical Workspaces
Abstract
Wheeled mobile robots (WMRs) are often used for maintenance of round pipes or ducts, which can typically be represented as a cylindrical workspace. Working in round pipes or ducts, kinematic models of WMRs are different from those applying on a plane and thus pose significant challenges in terms of kinematic analysis and motion control. To address these challenges, the kinematic properties of WMRs in a cylindrical workspace are analyzed in this paper. First, we discuss the kinematic properties of a single wheel in a cylindrical workspace. Then, we analyze the geometric constraints of WMRs in round pipes or ducts with analytical geometry. Based on these analyses, kinematic properties of WMRs in cylindrical workspaces are discussed with screw theory. A control law based on biaxial clinometer information is proposed, and it enables the robot to move horizontally in round pipes or ducts. Finally, the motion of a single wheel purely rolling in a cylindrical workspace is simulated. Experiments using a car-like mobile robot moving in round ducts are carried out to show the feasibility of the proposed algorithm.
Condition Monitoring for Image-Based Visual Servoing Using Kalman Filter
Abstract
In image-based visual servoing (IBVS), the control law is based on the error between the current and desired features on the image plane. The visual servoing system is working well only when all the designed features are correctly extracted. To monitor the quality of feature extraction, in this paper, a condition monitoring scheme is developed. First, the failure scenarios of the visual servoing system caused by incorrect feature extraction are reviewed. Second, we propose a residual generator, which can be used to detect if a failure occurs, based on the Kalman filter. Finally, simulation results are given to verify the effectiveness of the proposed method.
Prototype Development of a Hand-Held Robotic Light Pipe for Intraocular Procedures
Abstract
Light pipe is a tool providing illumination for delicate operations inside the eyeball in an eye surgery. Traditional light pipes with straight shafts have to be reoriented in order to enlarge its illustration range, which implies more risk of damage to the sclera and requires greater operation space for the handle. In order to overcome these limitations, this paper has proposed a novel robotized handheld light pipe based on concentric tubular structure. Tube parameters are selected based on the anatomical dimension of eyeballs. Novel actuation designs are described to meet the requirements of the intraocular procedures. An intuitive control scheme is implemented to facilitate surgeons’ operations. Furthermore, the benefit of the precurved tube compared with that of a straight tube is evaluated through experiments. It has been demonstrated that the proposed design as a light pipe holds the promise of enhancing intraocular surgeries.
Motion planning of continuum tubular robots based on features extracted from statistical atlas
Abstract
Continuum tubular robots, which are constructed by telescoping pre-curved elastic tubes, are capable of balancing the force application and steerability during minimally invasive surgeries. These devices are able to reach the desired surgical sites in body cavities without colliding with critical blood vessels, nerves and tissues. However, the motion planning of continuum tubular robots is quite challenging because of their complicated kinematics as well as the high dimensional configuration space. In this paper, a sampling-based motion planning method is proposed based on the Rapidly-exploring Random Tree (RRT) algorithm for continuum tubular robots in 3D environments, such as medullary cavities. The proposed motion planner enables a continuum tubular robot to maneuver roughly along the central axis of the statistical humerus atlas in an approximate follow-the-leader manner. The experiment results have demonstrated the effectiveness and superiority of the proposed motion planning algorithm.