Automatic synthesis of compliant forceps for robot-assisted minimally invasive surgery

2020 ◽  
Vol 68 (11) ◽  
pp. 922-932
Author(s):  
Yilun Sun ◽  
Lingji Xu ◽  
Dingzhi Zhang ◽  
Tim C. Lueth

AbstractDue to its monolithic structure and high dexterity, the compliant mechanism becomes an emerging solution to miniaturize surgical forceps for minimally invasive procedures. However, it is complicated and inefficient to use traditional rigid-link-based kinematic method to synthesize compliant forceps. In this paper, we present a topology-optimization-based method to automatically synthesize compliant forceps for robot-assisted minimally invasive surgery (RMIS). The basic geometry modeling tool and the automatic synthesis algorithm were both implemented in Matlab. Several synthesis examples were presented to show the performance of the proposed method. The realized forceps and a continuum manipulator have been constructed and 3D-printed, which demonstrated the application of the automatic synthesis method in RMIS.

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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