Combining static and dynamic optimization approaches for path planning, with collision avoidance

Abstract

In response to staff shortages in hospitals, healthcareproviders aim at increasingly automating their systems.Defining automated system paths – with collisions avoidance– is a critical step towards automation. In this paper,three different approaches for path planning areinvestigated: a static, a dynamic and a hybrid approach.The hybrid approach, that sequentially combines part of thestatic and dynamic approaches, results in improved accuracyagainst the static approach and improved performanceagainst the dynamic approach.