The Task Allocation Of Human-robot Collaboration(HRC) Based On Complexity

Under the background of economic globalization,manufacturing enterprises need to steadily improve their productivity level in order to maintain their advantages in fierce competition,so as to meet the requirements of consumers' personalization and short delivery time.However,due to fatigue and poor repeatability,if the whole assembly process is still completed by manual operation,the efficiency and quality of products may be unsatisfactory.Therefore,the introduction of industrial robots is an inevitable choice.Industrial robots play an important role in guaranteeing the continuity of production.But human beings also have the irreplaceable ability to solve unexpected problems and flexible operation,which plays an important role in maintaining the stability of production system and eliminating uncertain factors.Therefore,the combination of human and robot(HRC)is a new subject.The current man-machine collaboration(HRC)has 3 main problems: 1)security;2)large-scale programming;3)assignment of tasks.This paper focuses on third issues,task allocation,so as to make full use of the two labor resources of workers and industrial robots,and improve the operation efficiency of production system by establishing a reasonable task allocation model.The ultimate goal of the depth of cooperation between human and industrial robots is the promotion of efficiency.Time and quality are the two factors that affect the efficiency of the production system.The less time costs,the less the inferior products,the higher the efficiency of the system.But in previous studies,the degree of attention to quality was often less than time.In mixed flow production system,the complexity of worker operation is closely related to the quality of products,and even the quality of concrete can be predicted by measuring the complexity of tasks.Therefore,from the perspective of task complexity,we control the product quality of human-machine collaborative operation,and make the whole product quality maximize by making the worker's task complexity lowest.According to the research content,this paper puts forward operation worker under human-computer collaborative task complexity evaluation method of membership dues;secondly,established the human-machine collaborative task allocation model,and the average flow time,resource utilization,the balance rate for resource constraints,the optimal working task complexity calculation,task allocation scheme joint optimization;at the same time,in order to improve the computational efficiency of the model and practical application value,using the genetic algorithm in this paper is calculated,and the specific encoding method is given in this paper;finally,through an example,confirms the feasibility and practicability of the research.The research of this paper lays the foundation of theory and evaluation for the research on the task allocation of man-machine cooperative task.