Warehousing Mobile Robot Path Planning And Scheduling For Multi-tasking

With the development of industry,the manufacturing industry has also undergone earth-shaking changes.The emergence of mobile robots has liberated people from tedious labor,especially in the field of warehousing applications.With the development of the trend of the times,robots are not only getting more powerful in functions,but also getting smarter in planning.Multi-task robot collaboration has become an important development direction in industrial robots.With the development of communications and Internet of Things technologies,mobile robots have received huge development assistance.This paper studies mobile robots in an intelligent warehouse environment.First,this article introduces the research background and significance of mobile robot research,and describes the current status of domestic and foreign research in this field.This paper summarizes the problems in the field of mobile robots,and expounds the related solving algorithms.Then,the problems such as the communication method,control method and warehousing of the mobile robot are introduced from the shallow to the deep.It paved the way for the principles of algorithms in subsequent chapters.Finally,this paper focuses on the research of mobile robot path planning and multi-robot scheduling.Based on swarm intelligence algorithms and reinforcement learning related ideas,a new hybrid algorithm is improved and designed on the basis of swarm intelligence algorithms.Among them,for the path planning of mobile robots,this paper has made great improvements on the basis of ant colony algorithm,and designed path planning based on the hybrid algorithm of lone wolf ant colony.Improvement and innovation;for multi-robot scheduling under multi-tasks,this paper improves on the traditional genetic algorithm,and designs a new task allocation algorithm based on the genetic algorithm,which effectively reduces the intersection of paths.In this paper,the experimental model of grid environment is designed,the algorithm is tested on different grid maps,and the comparative verification is carried out.The improved algorithm is outstanding in multi-robot collaboration,and can effectively solve the robot path planning and scheduling problems in the complex storage environment.In summary,this paper studies the path planning and scheduling of warehousing robots under multi-objective and multi-task,improves related algorithms,and verifies the effectiveness of the algorithm in solving warehousing robots.