With the development of artificial intelligence algorithms, researchers are attracted to
intelligent path planning due to its broad applications and potential development. The ant …

Optimizing the coverage path planning (CPP) in robotics has become essential to
accomplish efficient coverage applications. This work presents a novel approach to solve …

Planning the energy-efficient and collision-free paths for reconfigurable robots in complex
environments is more challenging than conventional fixed-shaped robots due to their …

Mobile robots are intended to operate in a variety of environments, and they need to be able
to navigate and travel around obstacles, such as objects and barriers. In order to guarantee …

Path planning is the core technology of mobile robot decision‐making and control and is
also a research hotspot in the field of artificial intelligence. Aiming at the problems of slow …

Routine cleaning of the corroded ship hulls in dry dock maintenance guarantees the smooth
operation of the shipping industry. Deploying the autonomous system to remove the …

Modular robots hold the promise of changing their shape and even dimension to adapt to
various tasks and environments. To realize this superiority, it is essential to find the …

This paper presents a novel hybrid algorithm, BAT-LbCS, designed to enhance dynamic
path planning for robots by integrating BAT optimization and Lyapunov-based control …

The operation of a ship in the ocean depends crucially on the quality of routine offshore dry
dock maintenance. Automation by robotics is an efficient solution to address the issues of …

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 …