As the key point for auto-navigation of mobile robot, path planning is a research hotspot in
the field of robot. Generally, the ant colony optimization algorithm (ACO) is one of the …

Due to their agility, cost-effectiveness, and high maneuverability, Unmanned Aerial Vehicles
(UAVs) have attracted considerable attention from researchers and investors alike. Path …

Mobile robot path planning involves designing optimal routes from starting points to
destinations within specific environmental conditions. Even though there are well …

Robotic arms, which are favored for usage in both large-and small-scale industrial regions,
run into issues with numerous limits between the starting and ending locations in the …

The vehicle routing problem with time windows (VRPTW) is critical in the fields of operations
research and combinatorial optimization. To promote research on the multiobjective …

Path planning and navigation is a very important problem in robotics, especially for mobile
robots operating in complex environments. Sampling based planners such as the …

Energy efficiency is one of the most important parameters in transportation electrification. It
allows to improve the production rate due to longer operation without charging or decrease …

Recently, research on path planning for the autonomous underwater vehicles (AUVs) has
developed rapidly. Heuristic algorithms have been widely used to plan a path for AUV, but …

This paper presents the computation of feasible paths for mobile robots in known and
unknown environments using a QAPF learning algorithm. Q-learning is a reinforcement …

Path planning is crucial for several applications, including those in industrial facilities,
network traffic, computer games, and agriculture. Enabling automated path-planning …