Combining static and dynamic optimization approaches for
path planning, with collision avoidance
Clément Coïc, Marco Masannek
In response to staff shortages in hospitals, healthcare providers 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 are investigated: a static, a dynamic and a hybrid approach. The hybrid approach, that sequentially combines part of the static and dynamic approaches, results in improved accuracy against the static approach and improved performance against the dynamic approach.
Chemics, Pharmacology and Medicin
202