Unmanned aerial vehicles (UAVs) have the potential to make a significant impact in a range
of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous …

Abstract Rapidly-exploring Random Tree Star (RRT*) algorithm and its variants based on
random sampling can provide a collision-free and asymptotic optimal solution for many path …

In the past decades, considerable attention has been paid to bio-inspired intelligence and its
applications to robotics. This paper provides a comprehensive survey of bio-inspired …

The increasing need for food in recent years means that environmental protection and
sustainable agriculture are necessary. For this, smart agricultural systems and autonomous …

The RRT algorithm based on random sampling is widely used in planning problems with
non-holonomic constraints. In indoor environments, narrow passages exist in the map, and …

In response to the limitations of the DQN algorithm in adaptability, which result in a low
success rate in ship path planning, this paper introduces an improved algorithm based on …

The COVID-19 pandemic made robot manufacturers explore the idea of combining mobile
robotics with UV-C light to automate the disinfection processes. But performing this process …

Fish schools present high-efficiency group behaviors through simple individual interactions
to collective migration and dynamic escape from the predator. The school behavior of fish is …

To better solve the problems associated with optimal pathfinding and dynamic obstacle
avoidance in the path planning of mobile robots, a hybrid path planning scheme combining …

In recent years, researchers have paid attention to algorithms inspired by nature where
these algorithms have proven their efficiency in solving many optimization problems …