scholarly journals A Soft-Robotic Approach to Anthropomorphic Robotic Hand Dexterity

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 101483-101495 ◽  
Author(s):  
Jianshu Zhou ◽  
Xiaojiao Chen ◽  
Ukyoung Chang ◽  
Jui-Ting Lu ◽  
Clarisse Ching Yau Leung ◽  
...  
2006 ◽  
Vol 175 (4S) ◽  
pp. 25-25
Author(s):  
Fatih Atug ◽  
Erik P. Castle ◽  
Benjamin Lowentritt ◽  
Raju Thomas
Keyword(s):  

Author(s):  
C Cosenza ◽  
V Niola ◽  
S Savino

The development of suitable models for mechanical fingers, whether they are part of prosthetic device or of a robotic hand, is a powerful tool to predict the behaviour of their components since the early stages of design, especially for underactuated mechanisms. Experimental data can improve the reliability of such models and promote their application to build proper control strategies especially for prosthetic hands. Here, we have developed a multi-jointed model of a mechanical finger. The finger is part of the Federica hand: an underactuated mechanical hand that was conceived for prosthetic purpose. The model accounts for friction phenomena in the finger and it is tuned with experimental data acquired through a digital image correlation device. The model allowed us to write kinematics relations of the phalanges and evaluate finger configurations in relation to the closure velocity. Moreover, it was possible to estimate the tendon force and the work analysis occurring during the closure tasks, both in free mode and in presence of objects.


2021 ◽  
Vol 18 (2) ◽  
pp. 333-345
Author(s):  
Jianxing Yang ◽  
Yan Xiong ◽  
Xiaohong Chen ◽  
Yuanxi Sun ◽  
Wensheng Hou ◽  
...  

Author(s):  
Byron D. Patton ◽  
Daniel Zarif ◽  
Donna M. Bahroloomi ◽  
Iam C. Sarmiento ◽  
Paul C. Lee ◽  
...  

Objective In the tide of robot-assisted minimally invasive surgery, few cases of robot-assisted pneumonectomy exist in the literature. This study evaluates the perioperative outcomes and risk factors for conversion to thoracotomy with an initial robotic approach to pneumonectomy for lung cancer. Methods This study is a single-center retrospective review of all pneumonectomies for lung cancer with an initial robotic approach between 2015 and 2019. Patients were divided into 2 groups: surgeries completed robotically and surgeries converted to thoracotomy. Patient demographics, preoperative clinical data, surgical pathology, and perioperative outcomes were compared for meaningful differences between the groups. Results Thirteen total patients underwent robotic pneumonectomy with 8 of them completed robotically and 5 converted to thoracotomy. There were no significant differences in patient characteristics between the groups. The Robotic group had a shorter operative time ( P < 0.01) and less estimated blood loss ( P = 0.02). There were more lymph nodes harvested in the Robotic group ( P = 0.08) but without statistical significance. There were 2 major complications in the Robotic group and none in the Conversion group. Neither tumor size nor stage were predictive of conversion to thoracotomy. Conversions decreased over time with a majority occurring in the first 2 years. There were no conversions for bleeding and no mortalities. Conclusions Robotic pneumonectomy for lung cancer is a safe procedure and a reasonable alternative to thoracotomy. With meticulous technique, major bleeding can be avoided and most procedures can be completed robotically. Larger studies are needed to elucidate any advantages of a robotic versus open approach.


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