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 …

Automated Guided Vehicles (AGV) have received a lot of attention in recent years in terms of
both hardware and software research. Nowadays, the AGV offers more adaptable and …

Mobile robots have an important role in material handling in manufacturing and can be used
for a variety of automated tasks. The accuracy of the robot's moving trajectory has become a …

The research of mobile robot path planning has shifted from the static environment to the
dynamic environment, from the two-dimensional environment to the high-dimensional …

The design of path planning algorithms to obtain a smooth path that satisfies constraints
such as obstacle avoidance, minimized cost, and dynamic feasibility for mobile robots in the …

Abstract Rapidly-exploring Random Tree Star (RRT*) algorithm and its variants based on
random sampling can provide a collision-free and asymptotic optimal solution for many path …

Grey wolf optimization (GWO) is a meta-heuristic algorithm inspired by the hierarchy and
hunting behavior of grey wolves. GWO has the superiorities of simpler concept and fewer …

Abstract Autonomous Forklifts (AFs) play a vital role in smart factories, particularly in the
transportation of heavy loads. However, their energy consumption poses a significant …

Many-objective optimization problems (MaOPs) are challenging tasks involving optimizing
many conflicting objectives simultaneously. Decomposition-based many-objective …

Path planning is a key technology currently being researched in the field of mobile robotics,
but traditional path planning algorithms have complex search spaces and are easily trapped …