Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great
examples of mobile robots. They can be distinguished from other robots by their ability to …

Applying the learning mechanism of natural living beings to endow intelligent robots with
humanoid perception and decision-making wisdom becomes an important force to promote …

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 …

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

This paper presents a hybrid approach for path planning of multiple mobile robots in
continuous environments. For this purpose, first, an innovative Artificial Potential Field (APF) …

With the topics related to the intelligent AUV, control and navigation have become one of the
key researching fields. This paper presents a concise and reliable path planning method for …

Potential fields have been integrated with local path-planning algorithms for autonomous
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …

Autonomous navigation of a robot is a promising research domain due to its extensive
applications. The navigation consists of four essential requirements known as perception …

Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …

Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …