Research On Key Technologys Of Autonomous Navigation Application For Robot Platform Oriented To Task Scheduling

With the rapid development of artificial intelligence in 2016,whether it is scientific research.or business sector in the financing scale,and even the public awareness of the era of artificial intelligence,have proved the beginning of the first year of artificial intelligence.In the field of artificial intelligence,AlphaGo and Li Shishi man-machine war,Google,Tesla,Baidu's unmanned car three years of commercial five-year promotion,Jingdong warehouse smart truck,the most powerful brain man-made battle.It shows that the development of artificial intelligence not only has the traditional theoretical value of research,but also has a huge practical value of the business community.Based on this,how to mature the concept of artificial intelligence and the application of the public in people's vision has become one of the focuses of the current work.At the same time,the robot platform as a master of today's artificial intelligence technology in the people's vision.The theory and application of robot platform for the masses are also being carried out at home and abroad.Based on the complex environment and complex tasks for the masses,this paper designs the autonomous navigation robot platform for task scheduling,and carries on the related research to its key technology.In this paper,the hardware and software and interactive mode of autonomous navigation robot platform are the main research contents.Aiming at the problem of multi-task processing in the environment of complex environment and multi-task,the problem of path planning and human-computer interaction is studied in detail,and the problem of SLAM Simultaneous Localization and Mapping is studied in detail.In view of the above problems,this paper proposes a Task Schedule Robot Platform(TSRP),and proposes a distributed Autonomously Navigation Framework(ANDF)for multi-task processing.A Mixture Particle Filter(M-PF)is proposed to solve the problem of particle attenuation in traditional particle filter.A multi-sensor fusion navigation algorithm(MSFN)is proposed for the path planning problem,which greatly reduces the cost in satisfying the three-dimensional environment navigation environment.Based on the security considerations,a scheme of a priori map is proposed,which takes the avoidance process in consideration of the shortage of the map and the dangerous situation that may be encountered in the path planning and navigation.Based on the analysis of human-computer interaction on the basis of TSRP system,this paper designs a set of Task Schedule Robot Platform Human Computer Interaction(TSRP-HCI),which can be applied to a variety of scenarios.In this paper,the TSRP-HCI robot platform is used to test the various methods proposed in this paper.The test results show that the proposed algorithm is based on the mission-based autonomous navigation robot platform,such as positioning accuracy,navigation safety,algorithm efficiency and man-machine Interactive mode advantage,but also has considerable application value.