Selecting appropriate planners and controllers is critical for robotic navigation as they
must align with the specific task and operational environment. The efficiency of these
components varies across different scenarios, such as static and dynamic obstacle navigation,
where factors like computational demand, safety, and precision play vital roles. Moreover,
tuning parameters in the navigation stack is essential to optimize performance and adaptability.
It is, therefore, crucial to comply with safety protocols, especially in environments like retail
stores, to ensure safe and efficient human-robot interactions while adhering to regulatory standards
and minimizing potential risks.
