Traversal Path Planning and Simulation of Robot based on Radiation Scanning

Authors

Bin Lin, College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
Guanghui Han, College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
Chenchen Song, College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
Yajing Zhang, College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;

Abstract

Abstract: Aiming at the high repetition rate and many turns of robot paths based on BINN algorithm, an ITPPA combining the template model and the RS algorithm is proposed. The BINN algorithm is used to formulate the non-obstacle walking strategy. Multiple obstacle avoidance path templates are designed to ensure that the robot could avoid obstacles in an orderly manner. RS algorithm is used to guide the robot to escape the dead zone quickly. Simulation results show that, compared with BINN algorithm, ITPPA could not only effectively reduce the path repetition rate and the number of turning and energy consumption while helping the robot to quickly escape from the dead zone, but also improve the efficiency.

Recommended Citation

Lin, Bin; Han, Guanghui; Song, Chenchen; and Zhang, Yajing (2021) "Traversal Path Planning and Simulation of Robot based on Radiation Scanning," Journal of System Simulation: Vol. 33: Iss. 1, Article 9.
DOI: 10.16182/j.issn1004731x.joss.20-0279
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss1/9

First Page

84

Revised Date

2020-08-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0279

Last Page

90

CLC

TP242

Recommended Citation

Lin Bin, Han Guanghui, Song Chenchen, Zhang Yajing. Traversal Path Planning and Simulation of Robot based on Radiation Scanning[J]. Journal of System Simulation, 2021, 33(1): 84-90.

DOI

10.16182/j.issn1004731x.joss.20-0279