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External force estimation and implementation in robotically assisted minimally invasive surgery
Author(s) -
Sang Hongqiang,
Yun Jintian,
Monfaredi Reza,
Wilson Emmanuel,
Fooladi Hadi,
Cleary Kevin
Publication year - 2017
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.1824
Subject(s) - invasive surgery , computer science , torque , robotics , robotic surgery , estimation theory , simulation , control theory (sociology) , robot , surgery , artificial intelligence , medicine , physics , algorithm , control (management) , thermodynamics
Background Robotically assisted minimally invasive surgery can offer many benefits over open surgery and laparoscopic minimally invasive surgery. However, currently, there is no force sensing and force feedback. Methods This research was implemented using the da Vinci research kit. An external force estimation and implementation method was proposed based on dynamics and motor currents. The dynamics of the Patient Side Manipulator was modeled. The dynamic model was linearly parameterized. The estimation principle of external force was derived. The dynamic parameters were experimentally identified using a least squares method. Results Several experiments including dynamic parameter identification, joint torque estimation, and external force estimation were performed. The results showed that the proposed method could implement force estimation without using a force sensor. Conclusions The force estimation method was proposed and implemented and experimental results showed the method worked and was feasible. This method could be used for force sensing in minimally invasive surgical robotics in the future.