scholarly journals A New Tactile Transfer Cell Using Magnetorheological Materials for Robot-Assisted Minimally Invasive Surgery

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3034
Author(s):  
Yu-Jin Park ◽  
Seung-Bok Choi

This paper proposes a new type of tactile transfer cell which can be effectively applied to robot-assisted minimally invasive surgery (RMIS). The proposed tactile device is manufactured from two smart materials, a magnetorheological fluid (MRF) and a magnetorheological elastomer (MRE), whose viscoelastic properties are controllable by an external magnetic field. Thus, it can produce field-dependent repulsive forces which are equivalent to several human organs (or tissues) such as a heart. As a first step, an appropriate tactile sample is made using both MRF and MRE associated with porous foam. Then, the microstructures of these materials taken from Scanning Electron Microscope (SEM) images are presented, showing the particle distribution with and without the magnetic field. Subsequently, the field-dependent repulsive force of the sample, which is equivalent to the stress relaxation property of viscoelastic materials, are measured at several compressive deformation depths. Then, the measured values are compared with the calculated values obtained from Young’s modulus of human tissue data via the finite element method. It is identified from this comparison that the proposed tactile transfer cell can mimic the repulsive force (or hardness) of several human organs. This directly indicates that the proposed MR materials-based tactile transfer cell (MRTTC in short) can be effectively applied to RMIS in which the surgeon can feel the strength or softness of the human organ by just changing the magnetic field intensity. In this work, to reflect a more practical feasibility, a psychophysical test is also carried out using 20 volunteers, and the results are analyzed, presenting the standard deviation.

Author(s):  
Sang-Rock Lee ◽  
Chang-Ho Uhm ◽  
Min-Sang Seong ◽  
Jong-Seok Oh ◽  
Seung-Bok Choi

This paper presents a repulsive force feedback control in a haptic master–slave robot-assisted system for robot minimally invasive surgery. In general, the haptic master can provide position and force information for superior performance and reliability in master–slave robot-assisted interventions for a surgeon. In order to realize this potential, in this work three degrees of freedom electrorheological haptic master is adopted and associated with a four degrees of freedom slave robot. The haptic master featuring controllable electrorheological fluid is featured by a spherical joint mechanism and the slave robot is controlled by servomotors. After designing a user interface that is capable of providing force feedback in all the degrees of freedom available during robot minimally invasive surgery, the dynamic model of the haptic master is analyzed and the model parameters are identified to evaluate control performance of the haptic master on skin- and cancer-like tissues (palpation). Subsequently, the haptic architecture for robot minimally invasive surgery is established and experimentally implemented so that the reflection force for the object of the slave robot and the desired position for the master operator are transferred to each other. In order to demonstrate the effectiveness of the proposed system, repulsive force tracking control performances are evaluated and presented in time domain.


Author(s):  
Hang Su ◽  
Andrea Mariani ◽  
Salih Ertug Ovur ◽  
Arianna Menciassi ◽  
Giancarlo Ferrigno ◽  
...  

Author(s):  
Wen Qi ◽  
Hang Su ◽  
Ke Fan ◽  
Ziyang Chen ◽  
Jiehao Li ◽  
...  

The generous application of robot-assisted minimally invasive surgery (RAMIS) promotes human-machine interaction (HMI). Identifying various behaviors of doctors can enhance the RAMIS procedure for the redundant robot. It bridges intelligent robot control and activity recognition strategies in the operating room, including hand gestures and human activities. In this paper, to enhance identification in a dynamic situation, we propose a multimodal data fusion framework to provide multiple information for accuracy enhancement. Firstly, a multi-sensors based hardware structure is designed to capture varied data from various devices, including depth camera and smartphone. Furthermore, in different surgical tasks, the robot control mechanism can shift automatically. The experimental results evaluate the efficiency of developing the multimodal framework for RAMIS by comparing it with a single sensor system. Implementing the KUKA LWR4+ in a surgical robot environment indicates that the surgical robot systems can work with medical staff in the future.


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