Challenges and key technologies in robotic cell layout design and optimization

Abstract

Automatic operation system with industrial robots has become more and more popular, especially with the urgent requirement from 3C (Communication, computer and consumer electronics) manufactory. A robot cell, which often involves one or more robots and accessory equipment, can be regarded as part of the larger theme of cellular manufacturing. The objective that most interests manufacturers is the investment return rate. It is largely determined by the productivity of robotic cell, and the leading time of robotic production system. Therefore, a fast and efficient method to design a robotic cell layout with the maximum throughput for a given task is undeniably a worthy research topic. This paper attempts to discuss the challenges and key technologies in the robotic cell layout optimal design. The proper selection of configuration for task, manual operation skill learning and translation, collaborative design tool-chain, optimization in cell layout and operation scheduling, optimal end-of-arm tooling design, and human–robot collaboration are included in this discussion with existing or on-going problem-solving key technologies.