This paper presents a novel path planning heuristic for multi-UAV pipe inspection missions inspired by the booby bird’s foraging behavior. The enables each UAV to find an optimal that minimizes detection time of defects in networks while avoiding collisions with obstacles and other UAVs. proposed method is compared four existing algorithms adapted scenarios: ant colony optimization (ACO), parti...

Industry 4.0 represents a new paradigm which creates requirements in the area of manufacturing and metrology such as to reduce cost product, flexibility, mass customization, quality high level digitalization, optimization, etc., all contribute smart systems. This paper presents developed inspection planning system based on CMM support within or (MM4.0). The is application three AI techniques en...

Determination of inspection and maintenance policies for minimizing long-term risks costs in deteriorating engineering environments constitutes a complex optimization problem. Major computational challenges include the (i) curse dimensionality, due to exponential scaling state/action set cardinalities with number components; (ii) history, related exponentially growing decision-trees decision-st...

Many theoretical and experimental studies have been carried out in order to improve the efficiency and reduce labor for power line inspection, but problems related to stability, efficiency, and comprehensiveness still exist. This paper presents a multiple sensors platform method for overhead power line inspection based on the use of a large unmanned helicopter. Compared with the existing method...

Factory safety inspections are crucial for maintaining a secure production environment. Currently, predominantly performed manually on regular basis, leading to low efficiency and high workload. Utilizing inspection robots can significantly improve the reliability of these tasks. The development robot localization path planning technologies ensures that factory autonomously complete their missi...