In the context of motion planning in robotics, the problem of path planning based on artificial
potential fields has been examined using different algorithms to avoid trap** in local …

Combinatorial optimization, such as vehicle routing and traveling salesman problems for
graphs, is NP-hard and has been studied for decades. Many methods have been proposed …

The path planning of a measuring robot is critical to automatic measurement, but it is hard to
solve a global optimal path solution when it comes to scanning a complex body with many …

Currently, the automotive industry has entered a period of considerable advancement,
shifting towards the development of safe, comfortable, and connected autonomous vehicles …

In this paper we investigate bottlenecks in adaptive dynamic surface control (DSC) and
unveil an innovative consensus tracking controller to track the desired trajectory for a class …

In intelligent perception and diagnosis of medical equipment, the visual and morphological
changes in retinal vessels are closely related to the severity of cardiovascular diseases (eg …

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 …

In an era where people in the world are concerned about environmental issues, companies
must reduce distribution costs while minimizing the pollution generated during the …

This article addresses a special class of non-linear programming problems, viz., linear
fractional programming problems having multiple objectives. In solving the real-life linear …

In the field of intelligent buildings, cleaning robots have always been a part of research. This
study proposes a traversal algorithm based on the combination of simulated annealing …