Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles,
play an increasingly important role in people's work and lives. Path planning and obstacle …

This paper presents the rigorous study of mobile robot navigation techniques used so far.
The step by step investigations of classical and reactive approaches are made here to …

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 …

In this paper, a membrane evolutionary artificial potential field (memEAPF) approach for
solving the mobile robot path planning problem is proposed, which combines membrane …

In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …

This paper presents a real-time dynamic path planning method for autonomous driving that
avoids both static and moving obstacles. The proposed path planning method determines …

In this paper, a bioinspired path planning approach for mobile robots is proposed. The
approach is based on the sparrow search algorithm, which is an intelligent optimization …

Path planning is important to the efficiency and navigation safety of USV autonomous
operation offshore. To improve path planning, this study proposes the improved ant colony …

Path planning is an essential element in mobile robot navigation. One of the popular path
planners is Q-learning–a type of reinforcement learning that learns with little or no prior …

With the rapid expansion in the number of Unmanned Aircraft Vehicles (UAVs) available and
the development of modern technologies, the commercial applications of UAVs in urban …