Model-Based grasp force estimation for minimally invasive surgery

Author(s):  
Xiaoxiao Xin ◽  
Xu Chen ◽  
Shoubin Liu ◽  
Baoliang Zhao ◽  
Peng Gao ◽  
...  
Author(s):  
Hongqiang Sang ◽  
Jintian Yun ◽  
Reza Monfaredi ◽  
Emmanuel Wilson ◽  
Hadi Fooladi ◽  
...  

2015 ◽  
Vol 9 (4) ◽  
Author(s):  
Baoliang Zhao ◽  
Carl A. Nelson

Robotic minimally invasive surgery (R-MIS) has achieved success in various procedures; however, the lack of haptic feedback is considered by some to be a limiting factor. The typical method to acquire tool–tissue reaction forces is attaching force sensors on surgical tools, but this complicates sterilization and makes the tool bulky. This paper explores the feasibility of using motor current to estimate tool-tissue forces and demonstrates acceptable results in terms of time delay and accuracy. This sensorless force estimation method sheds new light on the possibility of equipping existing robotic surgical systems with haptic interfaces that require no sensors and are compatible with existing sterilization methods.


2004 ◽  
Vol 171 (4S) ◽  
pp. 448-448
Author(s):  
Farjaad M. Siddiq ◽  
Patrick Villicana ◽  
Raymond J. Leveillee

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