Brain Cognition Mechanism-Inspired Hierarchical Navigation Method for Mobile Robots  

作　　者：Qiang Zou Chengdong Wu Ming Cong Dong Liu 

机构地区：[1]Faculty of Robot Science and Engineering,Northeastern University,Shenyang,110819,China [2]School of Mechanical Engineering,Dalian University of Technology,Dalian,116024,China

出　　处：《Journal of Bionic Engineering》2024年第2期852-865,共14页仿生工程学报（英文版）

基　　金：funded by the National Natural Science Foundation of China-Liaoning Joint Fund(Grants:U20A20197);the National Natural Science Foundation of China(Grants:62173064);the Fundamental Research Funds for the Central Universities(Grants:N2326005).

摘　　要：Autonomous navigation is a fundamental problem in robotics.Traditional methods generally build point cloud map or dense feature map in perceptual space;due to lack of cognition and memory formation mechanism,traditional methods exist poor robustness and low cognitive ability.As a new navigation technology that draws inspiration from mammal’s navigation,bionic navigation method can map perceptual information into cognitive space,and have strong autonomy and environment adaptability.To improve the robot’s autonomous navigation ability,this paper proposes a cognitive map-based hierarchical navigation method.First,the mammals’navigation-related grid cells and head direction cells are modeled to provide the robots with location cognition.And then a global path planning strategy based on cognitive map is proposed,which can anticipate one preferred global path to the target with high efficiency and short distance.Moreover,a hierarchical motion controlling method is proposed,with which the target navigation can be divided into several sub-target navigation,and the mobile robot can reach to these sub-targets with high confidence level.Finally,some experiments are implemented,the results show that the proposed path planning method can avoid passing through obstacles and obtain one preferred global path to the target with high efficiency,and the time cost does not increase extremely with the increase of experience nodes number.The motion controlling results show that the mobile robot can arrive at the target successfully only depending on its self-motion information,which is an effective attempt and reflects strong bionic properties.

关 键 词：Bionic navigation Spatial localization cells Global path planning Hierarchical motion controlling 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]