Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …

Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …

This work presents a fully integrated tree-based combined exploration-planning algorithm:
exploration-rapidly-exploring random trees (RRT)(ERRT). The algorithm is focused on …

In unmanned aerial vehicle (UAV) path planning, evolutionary algorithms are commonly
used due to their ability to handle high-dimensional spaces and wide generality. However …

In the study of autonomous obstacle avoidance of intelligent vehicles, the traditional artificial
potential field method has the problem that the vehicle may fall into the local minima and …

Efficient exploration is a critical issue in swarm UAVs with substantial research interest due
to its applications in search and rescue missions. In this study, we propose a cooperative …

Map** and exploration of a Martian terrain with an aerial vehicle has become an
emerging research direction, since the successful flight demonstration of the Mars helicopter …

As a popular drone application, autonomous exploration suffers from low efficiency. To
address the issue of repeated and unnecessary exploration, especially in a large-scale and …

This study uses PID (Proportional-Integral-Derivative), fuzzy logic, and deep learning
algorithm to experimentally achieve real-time position control of a four-wheel-drive …

Unmanned Aerial Vehicles (UAVs) equipped with communication technologies have gained
significant attention as a promising solution for providing wireless connectivity in remote …