Once working at heights is dangerous, it is a significant accident. These accidents brought
substantial economic losses and caused a large number of casualties. Therefore, it is …

Nowadays, modern engineering systems require sophisticated maintenance strategies to
ensure their correct performance. Maintenance has become one of the most important tasks …

Reinforcement learning (RL) techniques nurture building up solutions for sequential
decision-making problems under uncertainty and ambiguity. RL has agents with a reward …

Regular Ship hull maintenance is an essential for sustainability. The maintenance work of
ship hulls that involve human labor suffers from many shortcomings. Maintenance robots …

One of the essential attributes of a cleaning robot is to achieve complete area coverage.
Current commercial indoor cleaning robots have fixed morphology and are restricted to …

This paper presents a review of the different methods and techniques used to optimize ship
hulls over the last six years (2017–2022). This review shows the different percentages of …

Abstract Machine learning (ML)-based techniques have found significant impact in many
fields of engineering and sciences, where data-sets are available from experiments and …

One of the critical challenges in deploying the cleaning robots is the completion of covering
the entire area. Current tiling robots for area coverage have fixed forms and are limited to …

Self-reconfigurable robots which can change their footprint's width have demonstrated the
ability to access confined areas. To enhance the efficiency of area coverage in complete …

The maintenance of underwater infrastructures and equipment remains dominated by
manual operation, resulting in high costs and safety concerns. Recent advances in …