Design, Modelling and Fabrication of a Robotic Retractor for Colorectal Surgery

PhDThis research presents the design, fabrication and controller development of a robotic retractor which driven by a robotic manipulator for laparoscopic colorectal surgery. The system consists of a dual-head fan retractor and a manipulator. The dual-head fan retractor comprises two fan devices, retractor wrist, tubular element and handle. The fan device is facilitated with a fan end-effector, an expansion mechanism and a clutchspring mechanism. Two fan devices have been used in the system to provide an anthropoid hand-holding shape which is specifically advanced for surgical purpose because intestine tends to slip when subject to disturbance and the anthropoid handholding shape can effectively halt that. One of the two fan devices is rotatable which makes the anthropoid hand-holding shape achievable. The retractor wrist possesses a triggering device, based on clutch-spring mechanism, for rotating the rotatable fan device. The clutch-spring mechanism has an impact on rotating the palms of the fan devices. In front of the handle, it is the so called front body which includes two fan devices, retractor wrist and tubular element. The front body can be controlled and is motorised using two motors fixed to the tubular element. The dual-head fan retractor is modelled in SolidWorks, and stress analysis of the retractor has been carried out by SolidWorks Simulation. Then, the mathematical model of the fan blades is developed. A 3-joint manipulator is modelled and controlled by a computed torque PD control approach as part of an investigative study to fit such a system to the retractor for robotic manipulation. Based on this investigation, the retractor is attached to a 2-joint robotic manipulator which has one rotational joint and a prismatic joint. This manipulator is mathematically modelled, and the dynamic equations are obtained. Control methods from Azenha and Khatib are simulated and compared. Azenha & Machado’s method has fewer input parameters and less oscillation when utilising the same control gains. Timeoptimal control is then successfully developed for the above 2-joint manipulator. This study clearly indicates that a retractor to be used for laparoscopic surgery can be effectively controlled using a multi-joints and multi degrees of freedom robotic manipulator

Multi-point static dexterous posture manipulation for the stiffness identification of serial kinematic end-effectors.

Masters Degree. University of KwaZulu-Natal, Durban.The low stiffness inherent in serial robots hinders its application to perform advanced operations due to its reduced accuracy imparted through deformations within the links and joints. The high repeatability, extended workspace, and speed of serial manipulators make them appealing to perform precision operations as opposed to its alternative, the CNC machine. However, due to the serial arrangement of the linkages of the system, they lack the accuracy to meet present-day demands. To address the low stiffness problem, this research provided a low-cost dexterous posture identification method. The study investigated the joint stiffness of a Fanuc M10-iA 6 Degree of Freedom (DOF) serial manipulator. The investigation involved a multivariable analysis that focused on the robot’s workspace, kinematic singularity, and dexterity to locate high stiffness areas and postures. The joint stiffness modelling applied the Virtual Joint Method (VJM), which replaced the complicated mechanical robot joints with one-dimensional (1-D) springs. The effects of stress and deflection are linearly related; the highest stress in a robot’s structure is distributed to the higher load-bearing elements such as the robot joints, end-effector, and tool. Therefore, by locating optimal postures, the induced stresses can be better regulated throughout the robot’s structure, thereby reducing resonant vibrations of the system and improving process accuracy and repeatability. These aspects are quantifiably pitched in terms of the magnitude differences in the end-effector deflection. The unique combination of the dexterity and the stiffness analyses aimed to provide roboticists and manufacturers with an easy and systematic solution to improve the stiffness, accuracy, and repeatability of their serial robots. A simple, user-friendly and cost-effective alternative to deflection measurements using accelerometers is provided, which offers an alternative to laser tracking devices that are commonly used for studies of this nature. The first investigation focused on identifying the overall workspace of the Fanuc M-10iA robot. The reachable workspace was investigated to understand the functionality and potential of the Fanuc robot. Most robotic studies stem from analysing the workspace since the workspace is a governing factor of the manipulator and end-effector placement, and its operations, in a manufacturing setting. The second investigation looked at identifying non-reachable areas and points surrounding the robot. This analysis, along with the workspace examination, provided a conclusive testing platform to test the dexterity and stiffness methodologies. Although the research focused on fixing the end-effector at a point (static case), the testing platform was structured precisely to cater for all robotic manufacturing tasks that are subjected to high applied forces and vibrations. Such tasks include, but are not limited to, drilling, tapping, fastening, or welding, and some dynamic and hybrid manufacturing operations. The third investigation was the application of a dexterous study that applied an Inverse Kinematic (IK) method to localise multiple robot configurations about a user-defined point in space. This process was necessary since the study is based on a multi-point dexterous posture identification technique to improve the stiffness of Serial Kinematic Machines (SKMs). The stiffness at various points and configurations were tested, which provided a series of stiff and non-stiff areas and postures within the robot’s workspace. MATLAB®, a technical computing software, was used to model the workspace and singularity of the robot. The dexterity and stiffness analyses were numerically evaluated using Wolfram Mathematica. The multivariable analyses served to improve the accuracy of serial robots and promote their functionality towards high force application manufacturing tasks. Apart from the improved stiffness performance offered, the future benefit of the method could advance the longevity of the robot as well as minimise the regular robot maintenance that is often required due to excessive loading, stress, and strain on the robot motors, joints, and links