An on-line path planning of assembly robots based on FOVS

Abstract

To improve the accuracy and efficiency of path planning for the mechanical assembly process of products, an on-line path planning method for mechanical assembly process robots based on visual field space is proposed in this paper. Firstly, to predict and describe the assembly process, the concept of field-of-view space (FOVS) is proposed. Secondly, image processing is carried out by knowledge base to judge the assembly type and current assembly state, and the initial assembly path is given. Then, the assembly process is integrated and solved, and the location estimation of obstacles are given according to the FOVS. Finally, the ant colony algorithm is improved to get the final assembly optimization path. Comparing the algorithm with the ACS algorithm in the aspect of path planning. The length of path planning is reduced by 2%, and the algorithm time is reduced by 0.5s, the accuracy and efficiency have been effectively improved. the result shows that the algorithm is effective.

Review of Just-in-Time Material Distribution Scheduling for Mixed Flow Assembly Lines Considering Transfer Vehicle Handling Energy Consumption

“…Lu [22] studied the multi-AGV path planning problem in a flexible manufacturing job shop as an entry point, analyzed the common types of conflicts in path planning, and established an optimization mathematical model without path conflicts. Liu [23] used genetic algorithm to plan the path of AGV operation in an automobile engine assembly workshop, but the paper only considered the planning layout of the workshop area location without combining the actual distribution problem with the production demanded. Nishida et al [24] proposed a heuristic algorithm for solving the just-in-time AGV path and distribution problem, using the just-in-time distribution method, taking the start time of each handling as a decision variable to handle the just-in-time AGV path and distribution problem by minimizing lead time and delay time.…”