• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (23): 55-67.doi: 10.3901/JME.2023.23.055

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Design and Optimization of Continuum Robot Configuration for Single-port Laparoscopic Surgery

PAN Qiqi1,2,3, WANG Hongbo1,2,3, LUO Jingjing1,2,3, WANG Fuhao1,2,3   

  1. 1. Academy for Engineering & Technology, Fudan University, Shanghai 200433;
    2. Institute of AI and Robotics, Fudan University, Shanghai 200433;
    3. Shanghai Engineering Research Center of AI & Robotics, Fudan University, Shanghai 200433
  • Received:2022-12-07 Revised:2023-06-19 Published:2024-02-20

Abstract: Aiming at the problems of insufficient rigidity, poor load capacity and low flexibility of existing single-port laparoscopic flexible surgical robots, a design scheme of notched continuum robot manipulator is proposed. Considering that the stiffness and flexibility of flexible robots are difficult to improve at the same time, the model structure and size parameters are optimized by layer-Wise theory and Lagrangian multiplier method. Based on the I-type crack model and stress strength analysis, the position restriction form of the traction line of the tendon-drive robot is optimized. Based on the relationship diagram of the notch size and the maximum bendable angle of the continuum as well as the finite element analysis, the optimization method of the notch size is proposed. The feasibility and effectiveness of each optimization scheme are verified by prototype testing. The results of experiments show that the end offset error of the optimized robotic manipulator is within 0.5 mm under the load of 0.5 N, and the average offset error under the end load of 0.5 N is 0.27 mm within the range of 90° bending angle of the flexible body. Experiments show that the proposed optimized sandwiching-notched robot has greater stiffness and load capacity, and still has good control accuracy after loading instruments in actual surgical applications.

Key words: notched continuum, configuration design, flexible manipulator optimization

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