Abstract The Complete Coverage Path Planning (CCPP) problem is a subfield of industrial
motion planning that has applications in various domains, ranging from mobile robotics to …

The problem of efficiently covering an area with a limited number of sensors or cameras is
an important research topic in various fields such as surveillance, monitoring, and …

Cognitive robots are intelligent systems that learn from their environment, adapt to dynamic
changes, and make decisions without a human's direct intervention. This research studies …

In the realm of unmanned aerial vehicles (UAVs), path planning is crucial. The objective is to
create a safe, practical, and optimum flight route for UAVs to fly across unfamiliar terrain …

Modern game development heavily relies on AI pathfinding to enable non-player characters
(NPCs) to navigate the game world efficiently. The use of pathfinding algorithms is essential …

The usage of cyber-physical systems is well known to play a vital role in the development of
precision agriculture, which in turn raises overall output. When a network of Unmanned …