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author:

Deng, Zhen (Deng, Zhen.) [1] | Wei, Xiaoxiao (Wei, Xiaoxiao.) [2] | Pan, Chuanchuan (Pan, Chuanchuan.) [3] | Li, Guotao (Li, Guotao.) [4] | Hu, Ying (Hu, Ying.) [5]

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EI ESCI Scopus

Abstract:

Tendon-driven continuum robots (TDCRs) with mechanical compliance have gained popularity in natural orifice transluminal endoscopic surgery (NOTES). Teleoperation problems of the TDCRs involve performance objectives in addition to the visibility constraint. Handling the coupling between potentially conflicting objectives and the visibility constraint remains challenging for surgeons when operating TDCRs. This paper presents a shared control method to assist in the teleoperation of the TDCRs, which guarantees visual targets remain within the field of view (FoV) of the TDCR. The visibility constraint is explicitly defined using a zeroing control barrier function, which is specified in terms of the forward invariance of a visible set. To ensure accuracy, the Jacobian matrix of the system is approximated online using sensing data. Then, the visibility constraint, along with the robot's physical constraints, is integrated into a quadratic program (QP) framework. This allows for the optimization of the control input of the operator subject to constraints, thus preserving visibility. Finally, simulations and experiments were conducted to demonstrate the effectiveness of the proposed approach under two teleoperation modes. The results show that the proposed method achieved a reduction of approximately 70% in ITP and 43% in MAE compared to direct teleoperation. © 2018 IEEE.

Keyword:

Compliance control Endoscopy Jacobian matrices Quadratic programming Redundant manipulators Remote control Robotic surgery Robot programming Surgical equipment Tendons Transplantation (surgical) Visual servoing

Community:

  • [ 1 ] [Deng, Zhen]Fuzhou University, Department of Mechanical Engineering and Automation, Fuzhou; 350108, China
  • [ 2 ] [Wei, Xiaoxiao]Fuzhou University, Department of Mechanical Engineering and Automation, Fuzhou; 350108, China
  • [ 3 ] [Pan, Chuanchuan]Fuzhou University, Department of Mechanical Engineering and Automation, Fuzhou; 350108, China
  • [ 4 ] [Li, Guotao]Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Beijing; 100190, China
  • [ 5 ] [Hu, Ying]Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen; 518055, China

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IEEE Transactions on Medical Robotics and Bionics

Year: 2024

Issue: 2

Volume: 6

Page: 487-497

3 . 4 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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