This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

In this article, different state-of-the-art metaheuristic algorithms are analyzed to incorporate
the collision-free path-planning approach for UAVs in a disaster situation. The efficient path …

The genetic algorithm (GA) is a well-known meta-heuristic technique for addressing the
static mobile robot global path planning (MRGPP) issue. Current GA, however, has certain …

Aiming at improving the map** accuracy and autonomous navigation efficiency of rescue
robot in unknown environment, an improved Hector SLAM based autonomous navigation …

Abstract Robotic Navigation Aids (RNAs) assist visually impaired individuals in independent
navigation. However, existing research overlooks diverse obstacles and assumes equal …

Navigating robots through large-scale environments while avoiding dynamic obstacles is a
crucial challenge in robotics. This study proposes an improved deep deterministic policy …

In the industrial field, industrial robots have taken over the heavy lifting that used to be done
by traditional handicraft assembly lines, greatly freeing up human resources and improving …

This study presents an efficient path planning method for mobile robots in a dynamic
environment. The method is based on the rapidly-exploring random tree (RRT) algorithm …

The path planning methodology followed by the humanoid robots generally focuses on the
improvisation of path length and travel time in completing assigned tasks. The overall …

This paper proposes a heuristic motion planning algorithm to enhance optimal path
determination and tracking for a differential drive mobile robot within a global environment …