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Collaborative obstacle avoidance algorithm of multiple bionic snake robots in fluid based on IB-LBM.
Li, Dongfang; Deng, Hongbin; Pan, Zhenhua; Xiu, Yang.
Affiliation
  • Li D; Fuzhou university, Fuzhou, Fujian, China; Beijing Institute of Technology, Beijing, China. Electronic address: 188377985@qq.com.
  • Deng H; Beijing Institute of Technology, Beijing, China. Electronic address: denghongbin@bit.edu.cn.
  • Pan Z; Beijing Institute of Technology, Beijing, China. Electronic address: pzh-mingzhe@outlook.com.
  • Xiu Y; Beijing Institute of Technology, Beijing, China. Electronic address: 1608996477@qq.com.
ISA Trans ; 122: 271-280, 2022 Mar.
Article in En | MEDLINE | ID: mdl-33992419
ABSTRACT
This paper presents a collaborative obstacle avoidance algorithm of multiple bionic snake robots in fluid based on IB-LBM. The method can make the multiple bionic snake robots avoid different obstacles in the fluid under the control of the improved Serpenoid curve function. The proposed method has high parallelism, can simulate the complex non-linear phenomenon of the multiple snake robots, deal with the complex boundary conditions of the robot, and reduce the conversion of the computational grid. Firstly, a non-linear fluid model is established by LBM, which solves the non-linear problem that the classical Navier-Stokes equations cannot explain the random motion. Secondly, the force source boundary model of multiple bionic snake robots is established by IBM, which saves the calculation time, improves the calculation efficiency and system stability. After that, each bionic snake robot is given a special force to make the robots collaborate with each other and non-colliding with each other in the process of the obstacle avoidance. Finally, through simulation experiments, the trajectory of multiple bionic snake robots avoiding different number of the obstacles in the fluid is analyzed and the collaborative obstacle avoidance process of multiple bionic snake robots in fluid is observed. The validity of the collaborative obstacle avoidance algorithm of multiple bionic snake robots in fluid based on the IB-LBM is verified.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bionics / Robotics Type of study: Prognostic_studies Language: En Journal: ISA Trans Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bionics / Robotics Type of study: Prognostic_studies Language: En Journal: ISA Trans Year: 2022 Document type: Article