An intelligent autonomous robot is required in various applications such as space,
transportation, industry, and defense. Mobile robots can also perform several tasks like …

It is well-recognized that obsolete or discarded products can cause serious environmental
pollution if they are poorly be handled. They contain reusable resource that can be recycled …

In this study, a new mutation operator is proposed for the genetic algorithm (GA) and applied
to the path planning problem of mobile robots in dynamic environments. Path planning for a …

Although many studies exist on mobile robot path planning, the disadvantages of complex
algorithms and many path nodes in logistics warehouses and manufacturing workshops are …

Metaheuristics have a substantial history in fine-tuning machine learning algorithms. They
gained tremendous popularity in many application domains. Robotics on the other hand is a …

In this paper a novel knowledge based fuzzy control system with Probabilistic Roadmap
(PRM) method is proposed for path planning and target seeking behaviour of mobile robot in …

The use of mobile robots is growing every day. Path planning algorithms are needed to
allow the coordination of several robots, and make them travel with the least cost and …

In this paper, an adaptive genetic algorithm (GA) for robot motion planning in 2D complex
environments is proposed. Since the robot motion planning problem is generally an NP-hard …

Path planning is the core technology of mobile robot decision‐making and control and is
also a research hotspot in the field of artificial intelligence. Aiming at the problems of slow …

The traditional A-star algorithm has many search nodes, and the obtained path has polylines
and cannot avoid local unknown obstacles. In response to these problems, this paper …