[1]曹翔,俞阿龙.移动机器人全覆盖信度函数路径规划算法[J].智能系统学报,2018,13(02):314-321.[doi:10.11992/tis.201610006]
 CAO Xiang,YU Along.Complete-coverage path planning algorithm of mobile robot based on belief function[J].CAAI Transactions on Intelligent Systems,2018,13(02):314-321.[doi:10.11992/tis.201610006]
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第13卷
期数:
2018年02期
页码:
314-321
栏目:
学术论文—智能系统
出版日期:
2018-04-15

文章信息/Info

Title:
Complete-coverage path planning algorithm of mobile robot based on belief function
作者:
曹翔 俞阿龙
淮阴师范学院 物理与电子电气工程学院, 江苏 淮安 223300
Author(s):
CAO Xiang YU Along
School of Physics and Electronic Electrical Engineering, Huaiyin Normal University, Huaian 223300, China
关键词:
移动机器人全覆盖路径规划方向信度函数栅格信度函数重复率
Keywords:
mobile robotcomplete-coverage path planningdirection belief functiongrid belief functionrepetition rate
分类号:
TP273
DOI:
10.11992/tis.201610006
摘要:
针对移动机器人全覆盖路径规划问题,给出一种基于栅格信度函数的全覆盖路径规划算法。目的是为了控制移动机器人能够遍历工作区域中所有的可到达点,同时保证能够自动避开障碍物。首先,根据环境的信息对栅格地图进行赋值,使用不同的函数值表示障碍物、已覆盖栅格和未覆盖栅格;其次,判断机器人是否陷入死区引入不同方向信度函数,对栅格函数值进行调整;最后,机器人根据栅格信度函数值规划覆盖路径。本文所提及的算法不仅能够引导移动机器人实现工作区域的全覆盖而且能够快速逃离死区,实现覆盖路径的低重复率。仿真实验中,通过与生物启发神经网络算法的比较,证明本文提及算法有更高的覆盖效率。
Abstract:
For the complete-coverage path planning of mobile robot, an algorithm based on grid belief function was proposed. The goal is to control a mobile robot to traverse all reachable locations in work area, while guarantee automatic obstacle avoidance. Firstly, the grid map is assigned with values according to the information of the environment, the obstacles, covered grids and uncovered grids are represented by using different function values; secondly, judging if a mobile robot is caught in dead zone or not, different direction belief functions are introduced to adjust the grid function values; lastly, the robot programs the covered path according to the grid belief function value. The proposed algorithm can guide a robot to realize full coverage of work area, rapidly escape from dead zone and achieve a low repetition rate of the covered path. In the simulation experiments, by compared with bio-inspired neural network algorithm, the algorithm proposed in the paper was verified to own high coverage efficiency.

参考文献/References:

[1] 简毅, 张月. 移动机器人全局覆盖路径规划算法研究进展与展望[J]. 计算机应用, 2014, 34(10): 2844-2849, 2864.
JIAN Yi, ZHANG Yue. Complete coverage path planning algorithm for mobile robot: progress and prospect[J]. Journal of computer applications, 2014, 34(10): 2844-2849, 2864.
[2] YAN Mingzhong, ZHU Daqi. An algorithm of complete coverage path planning for autonomous underwater vehicles[J]. Key engineering materials, 2011, 467-469: 1377-1385.
[3] 莫宏伟, 马靖雯. 一种生物地理学移动机器人路径规划算法[J]. 智能系统学报, 2015, 10(5): 705-711.
MO Hongwei, MA Jingwen. A biogeography-based mobile robot path planning algorithm[J]. CAAI transactions on intelligent systems, 2015, 10(5): 705-711.
[4] LI Yan, CHEN Hai, JOO ER MENG, et al. Coverage path planning for UAVs based on enhanced exact cellular decomposition method[J]. Mechatronics, 2011, 21(5): 876-885.
[5] 蒲兴成, 赵红全, 张毅. 细菌趋化行为的移动机器人路径规划[J]. 智能系统学报, 2014, 9(1): 69-75.
PU Xingcheng, ZHAO Hongquan, ZHANG Yi. Mobile robot path planning research based on bacterial chemotaxis[J]. CAAI transactions on intelligent systems, 2014, 9(1): 69-75.
[6] KAPANOGLU M, ALIKALFA M, OZKAN M, et al. A pattern-based genetic algorithm for multi-robot coverage path planning minimizing completion time[J]. Journal of intelligent manufacturing, 2012, 23(4): 1035-1045.
[7] 杜鹏桢, 唐振民, 陆建峰, 等. 不确定环境下基于改进萤火虫算法的地面自主车辆全局路径规划方法[J]. 电子学报, 2014, 42(3): 616-624.
DU Pengzhen, TANG Zhenmin, LU Jianfeng, et al. Global path planning for ALV based on improved glowworm swarm optimization under uncertain environment[J]. Acta electronica sinica, 2014, 42(3): 616-624.
[8] BALCH T. The case for randomized search[C]//Proceedings of Workshop on Sensors and Motion, IEEE International Conference on Robotics and Automation. San Francisco, CA: IEEE Press, 2000: 213-215.
[9] HABIB M A, ALAM M S, SIDDQUE N H. Optimizing coverage performance of multiple random path-planning robots[J]. Paladyn, 2012, 3(1): 11-22.
[10] JIN Xin, GUPTA S, LUFF J M, et al. Multi-resolution navigation of mobile robots with complete coverage of unknown and complex environments[C]//Proceedings of 2012 American Control Conference. Montreal: IEEE Press, 2012: 4867-4872.
[11] YAZICI A, KIRLIK G, PARLAKTUNA O, et al. A dynamic path planning approach for multirobot sensor-based coverage considering energy constraints[J]. IEEE transactions on cybernetics, 2014, 44(3): 305-314.
[12] HSU P M, LIN Chunliang, YANG Mengyao. On the complete coverage path planning for mobile robots[J]. Journal of intelligent and robotic systems, 2014, 74(3/4): 945-963.
[13] 邱雪娜, 刘士荣, 宋加涛, 等. 不确定动态环境下移动机器人的完全遍历路径规划[J]. 机器人, 2006, 28(6): 586-592.
QIU Xuena, LIU Shirong, SONG Jiatao, et al. A complete coverage path planning method for mobile robots in uncertain dynamic environments[J]. Robot, 2006, 28(6): 586-592.
[14] GUO Yi, BALAKRISHNAN M. Complete coverage control for nonholonomic mobile robots in dynamic environments[C]//Proceedings of 2006 IEEE International Conference on Robotics and Automation. Orlando, FL, USA: IEEE Press, 2006: 1704-1709.
[15] YANG S X, LUO Chaomin. A neural network approach to complete coverage path planning[J]. IEEE transactions on systems, man, and cybernetics, part B: cybernetics, 2004, 34(1): 718-724.
[16] LUO Chaomin, YANG S X. A bioinspired neural network for real-time concurrent map building and complete coverage robot navigation in unknown environments[J]. IEEE transactions on neural networks, 2008, 19(7): 1279-1298.
[17] YAN Mingzhong, ZHU Daqi, YANG S X. Complete coverage path planning in an unknown underwater environment based on D-S data fusion real-time map building[J]. International journal of distributed sensor networks, 2012, 2012: 567959, doi: 10.1155/2012/567959. [DOI:10.1155/2012/567959]
[18] 朱大奇, 颜明重. 移动机器人路径规划技术综述[J]. 控制与决策, 2010, 25(7): 961-967.
Zhu Daqi, Yan Mingzhong. Survey on technology of mobile robot path planning[J]. Control and decision, 2010, 25(7): 961-967.
[19] LEE T K, BAEK S H, CHOI Y H, et al. Smooth coverage path planning and control of mobile robots based on high-resolution grid map representation[J]. Robotics and autonomous systems, 2011, 59(10): 801-812.
[20] 欧阳鑫玉, 杨曙光. 基于势场栅格法的移动机器人避障路径规划[J]. 控制工程, 2014, 21(1): 134-137.
OUYANG Xinyu, YANG Shuguang. Obstacle avoidance path planning of mobile robots based on potential grid method[J]. Control engineering of china, 2014, 21(1): 134-137.
[21] 郝宗波, 洪炳镕, 黄庆成. 基于栅格地图的机器人覆盖路径规划研究[J]. 计算机应用研究, 2007, 24(10): 56-58.
HAO Zongbo, HONG Bingrong, HUANG Qingcheng. Study of coverage path planning based on grid-map[J]. Application research of computers, 2007, 24(10): 56-58.
[22] SIPAHIOGLU A, KIRLIK G, PARLAKTUNA O, et al. Energy constrained multi-robot sensor-based coverage path planning using capacitated arc routing approach[J]. Robotics and autonomous systems, 2010, 58(5): 529-538.

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备注/Memo

备注/Memo:
收稿日期:2016-10-09。
基金项目:江苏省高校自然科学研究重大项目(16KJA460003).
作者简介:曹翔,男,1981年,讲师,博士,主要研究方向为机器人搜索、围捕、路径规划;俞阿龙,男,1964年,教授,博士,主要研究方向为测控技术、传感器技术、应用电子技术。
通讯作者:曹翔.E-mail:cxeffort@126.com.
更新日期/Last Update: 1900-01-01