计算机科学 ›› 2019, Vol. 46 ›› Issue (4): 210-215.doi: 10.11896/j.issn.1002-137X.2019.04.033
柴慧敏, 方敏, 吕少楠
CHAI Hui-min, FANG Min, LV Shao-nan
摘要: 从认知的角度,提出采用态势评估技术来求解移动机器人局部路径规划的问题。首先,在机器人坐标系下将机器人前方[10°,170°]的范围划分为5个区域,在二维激光测量数据与图像数据的融合结果中,提取不同区域的机器人环境态势要素;建立机器人行为选择贝叶斯网络模型,以机器人的环境态势要素为证据进行推理,选择推理结果中后验概率值最大的某种行为:直线行走、避障和逃离U型陷阱;对选择的行为处理后,依据声纳测量数据选择下一步要移动的栅格,并调整机器人的行进方向。11种典型仿真场景的测试中,1种场景测试失败,其余10种场景中机器人均能够以最短或次短的行进路线到达目的地。实验结果表明,利用态势评估技术解决移动机器人局部路径规划问题是一种有效且可行的方法。
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[1]MCFETRIDGE L,IBRAHIM M Y.A new methodology of mobile robot navigation:the agoraphilic algorithm[J].Robotics and Computer-Integrated Manufacturing,2009,25(3):545-551. [2]YU Z Z,YAN J H,ZHAO J,et al.Mobile robot path planning based on improved artificial potential field method[J].Journal of Harbin Institute of Technology,2011,43(1):50-55.(in Chinese) 于振中,阎继宏,赵杰,等.改进人工势场法的移动机器人路径规划[J].哈尔滨工业大学学报,2011,43(1):50-55. [3]ZHANG Q S,CHEN D D,CHEN T.An Obstacle Avoidance Method of Soccer Robot Based on Evolutionary Artificial Potential Field[J].Energy Procedia,2012,16(5):1792-1798. [4]TOIBERO J M,ROBERTI F,CARELLI R,et al.Switching control approach for stable navigation of stable navigation of mobile robots in unknown environments[J].Robotics and Computer-Integrated Manufacturing.2011,27(3):558-568. [5]ZHANG Q.Path Planning and Location for Mobile Robot[D].Harbin:Harbin Institute of Technology,2014.(in Chinese) 张琦.移动机器人的路径规划与定位技术研究[D].哈尔滨:哈尔滨工业大学,2014. [6]BU X P,SU H,ZOU W,et al.Ant Colony Path Planning Based on Non-uniform Modeling of Complex Environment[J].Robot,2016,38(3):276-284.(in Chinese) 卜新苹,苏虎,邹伟,等.基于复杂环境非均匀建模的蚁群路径规划[J].机器人,2016,38(3):276-284. [7]WANG L,LI M.Application of improved adaptive genetic algorithm in mobile robot path planning[J].Journal of Nanjing University of Science and Technology,2017,41(5):627-632.(in Chinese) 王雷,李明.改进自适应遗传算法在移动机器人路径规划中的应用[J].南京理工大学学报,2017,41(5):627-632. [8]ZHAO Z S,FENG X,WEI F,et al.Learning representative features for robot topological localization[J].International Journal of Advanced Robotic Systems,2013,10(4):1-12. [9]LIU Jie,ZHAO H F,ZHOU D L.Improved Quantum Behaved Particle Swarm Optimization Algorithm for Mobile Robot Path Planning[J].Computer Science,2017,44(S2):123-128.(in Chinese) 刘洁,赵海芳,周德廉.一种改进量子行为粒子群优化算法的移动机器人路径规划[J].计算机科学,2017,44(S2):123-128. [10]DAS S.High-Level Data Fusion[C]∥International Conference on Infromation Fusion.2008:1-6. [11]LI C,DUANMU J S,LEI Y J,et al.Situation assessment based on cognitive maps and intuitionistic fuzzy reasoning[J].Systems Engineering and Electronics,2012,34(10):2064-2068.(in Chinese) 李闯,端木京顺,雷英杰,等.基于认知图和直觉模糊推理的态势评估方法[J].系统工程与电子技术,2012,34(10):2064-2068. [12]HUANG Z Q,SHEN C C,DOSHI S,et al.Fuzzy Sets Based Team Decision-Making for Cyber Situation Awareness[C]∥2016 IEEE Military Communications Conference.2016:1077-1082. [13]CHAI H M,WANG B S.Research on the Bayesian networks model in situation assessment[J].Journal of Xidian University,2009,36(3):140-142.(in Chinese) 柴慧敏,王宝树.态势估计中的贝叶斯网络模型研究[J].西安电子科技大学学报,2009,36(3):140-142. [14]MENG G L,MA X Y,LIU X,et al.Situation Assessment for Unmanned Aerial Vehicles Air Combat Based on Hybrid Dynamic Bayesian Network[J].Command Control & Simulation,2017,39(4):1-6.(in Chinese) 孟光磊,马晓玉,刘昕,等.基于混合动态贝叶斯网络的无人机空战态势评估[J].指挥控制与仿真,2017,39(4):1-6. [15]CHAI H N.A Novel Approach to Evidence Combination in Battlefield Situation Assessment Using Dezert-Smarandache Theory[C]∥International Conference on Machine Learning and Cybernetics.2013:720-727. [16]TANG Y L,LI W J,DING J X,et al.Network security situational assessment method based on improved D-S evidence theory[J].Journal of Nanjing University of Science and Technology,2015,39(4):405-411.(in Chinese) 汤永利,李伟杰,丁金霞,等.基于改进D-S证据理论的网络安全态势评估方法[J].南京理工大学学报,2015,39(4):405-411. [17]PEARL J.Fusion,propagation and structuring in belief net- works [J].Artificial Intelligence,1986,29(3):241-288. [18]POURRET O,NAIM P,MARCOT B.Bayesian Networks:A Practical Guide to Applications[J].Treatise on Geochemistry,2008,37(4):281-304. [19]ZHANG N L ,POOLE D.A simple approach to Bayesian network computations[C]∥Proceedings of the Tenth Canadian Conference on Artificial Intelligence.1994:171-178. [20]SMARANDACHE F,DEZERT J.An introduction to DSm theory of plausible,paradoxist,uncertain,and imprecise reasoning for information fusion[J].Octogon Mathenatical Magazine,2007,15(2):681-722. |
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