Traversal Path Planning and Simulation of Robot based on Radiation Scanning

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

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.

Key words: robot, traversal path planning, biologically inspired neural network, template model, radiation scanning

CLC Number:

TP242

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.

References

[1] 黄武. 智能机器人让你触摸未来[J]. 计算机与网络, 2020, 46(9): 15.
Huang Wu.Smart Robots Let You Touch the Future[J]. Computer and Network, 2020, 46(9): 15.
[2] 王洪斌, 尹鹏衡, 郑维, 等. 基于改进的A~*算法与动态窗口法的移动机器人路径规划[J]. 机器人, 2020, 42(3): 346-353.
Wang Hongbin, Yin Pengheng, Zheng Wei, et al.Mobile Robot Path Planning Based on Improved A~* Algorithm and Dynamic Window Method[J]. Robot, 2020, 42(3): 346-353.
[3] 张月. 清洁机器人全覆盖路径规划研究[D]. 重庆: 重庆大学, 2015.
Zhang Yue.Research on the Complete Coverage Path Planning of Cleaning Robot[D]. Chongqing: Chongqing University, 2015.
[4] Yang S X, Meng M.Neural Network Approaches to Dynamic Collision-free Trajectory Generation[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (S1083-4419), 2001, 31(3): 302-318.
[5] Yang S, Luo C.A Neural Network Approach to Complete Coverage Path Planning[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (S1083-4419), 2004, 34(1): 718-724.
[6] 刘晶, 姚维, 章玮. 移动机器人全覆盖路径规划算法研究[J]. 工业控制计算机, 2019, 32(12): 52-54.
Liu Jing, Yao Wei, Zhang Wei.Research on Complete Coverage Path Planning Algorithm of Mobile Robots[J]. Industrial Control Computer, 2019, 32(12): 52-54.
[7] 张志远, 赵幸, 靳晔. 基于生物激励神经网络的清洁机器人遍历路径规划算法的改进[J]. 轻工学报, 2018, 33(4): 73-78, 85.
Zhang Zhiyuan, Zhao Xing, Jin Ye.Improvement of Traversal Path Planning Algorithm of Cleaning Robot Based on Biologically Inspired Neural Network[J]. Journal of Light Industry, 2018, 33(4): 73-78, 85.
[8] 赵江, 王晓博, 郝崇清, 等. 栅格图特征提取下的路径规划建模与应用[J]. 计算机工程与应用, 2020, 56(10): 254-260.
Zhao Jiang, Wang Xiaobo, Hao Chongqing, et al.Path Planning Modeling and Application Based on Feature Extraction of Grid Graph[J]. Computer Engineering and Applications, 2020, 56(10): 254-260.
[9] 程啟忠. 无人船完全遍历路径规划的研究[D]. 重庆: 重庆邮电大学, 2019.
Cheng Qizhong.Research on Complete Coverage Path Planning of Unmanned Surface Vehicle[D]. Chongqing: Chongqing University of Posts and Telecommunications, 2019.
[10] 路春晖, 尹美琳, 付振楷, 等. 辐射扫描算法在无人船航迹规划中的应用[J]. 实验室研究与探索, 2019, 38(11): 34-37, 45.
Lu Chunhui, Yin Meilin, Fu Zhenkai, et al.Application of Radiation Scanning Algorithms in Unmanned Vessel Route Planning[J]. Research and Exploration in Laboratory, 2019, 38(11): 34-37, 45.

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