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 …

Estimating terrain traversability in off-road environments requires reasoning about complex
interaction dynamics between the robot and these terrains. However, it is challenging to …

Effectively improving the optimization performance of artificial electric field algorithm (AEFA)
and broadening its application domain can aid in providing robot path planning in 3-D …

In recent years, the navigation capabilities of mobile robots in off-road environments have
increased significantly, opening up new potential applications in a variety of settings. By …

Autonomous navigation in rough and dynamic 3D environments is a major challenge for
modern robotics. This paper presents a novel traversability analysis and path planning …

Mobile robots operating in outdoor environments face the challenge of navigating various
terrains with different degrees of difficulty. Therefore, traversability estimation is crucial for …

This paper presents a safe, efficient, and agile ground vehicle navigation algorithm for 3D off-
road terrain environments. Off-road navigation is subject to uncertain vehicle-terrain …

Driving in an off‐road environment is challenging for autonomous vehicles due to the
complex and varied terrain. To ensure stable and efficient travel, the vehicle requires …

Navigation in complex 3-D scenarios requires appropriate environment representation for
efficient scene understanding and trajectory generation. We propose a highly efficient and …

The article presents the application of a hyperspectral camera in mobile robot navigation.
Hyperspectral cameras are imaging systems that can capture a wide range of …