Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

Bridges are one of the fundamental infrastructure assets that are vital for economic growth
and public welfare. Over the past few decades, the numbers of deteriorating bridges have …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

In this paper, a new strategy is developed to plan the smooth path for mobile robots through
an improved PSO algorithm in combination with the continuous high-degree Bezier curve …

With the manufacturing reshoring to the US, increasing attention are focus on its energy
consumption and environmental effects and accurate prediction of carbon emissions is vital …

The key objective of unmanned aerial vehicle (UAV) path planning is to produce a flight path
that connects a start state and a goal state while meeting the required constraints …

Metaheuristic algorithms are an important area of research in artificial intelligence. The
tumbleweed optimization algorithm (TOA) is the newest metaheuristic optimization algorithm …

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 …

This paper proposes a noble multi-robot path planning algorithm using Deep q learning
combined with CNN (Convolution Neural Network) algorithm. In conventional path planning …

An algorithm that integrates the improved artificial fish swarm algorithm with continuous
segmented Bézier curves is proposed, aiming at the path planning and smoothing of mobile …