Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …

Emergence of communication technologies made the automotive industries across the
globe to embrace Advanced Driver Assistance Systems (ADAS) by considerable …

In complex and volatile unknown flight environments, the limited environmental information
obtained by sensors in the face of sudden dynamic and static obstacles makes it extremely …

Three-dimensional path planning for autonomous robots is a prevalent problem in mobile
robotics. This paper presents three novel versions of a hybrid method designed to assist in …

Underwater vehicles are important tools for marine resource exploration and exert important
effects in civil and military fields. Path planning is an important part in the field of underwater …

In this paper, we propose a hybrid approach based on the Lyapunov Guidance Vector Field
(LGVF) and the Improved Interfered Fluid Dynamical System (IIFDS), to solve the problems …

Path planning is the essential aspect of autonomous flight system for unmanned aerial
vehicles (UAVs). An improved particle swarm optimization (PSO) algorithm, named GBPSO …

In this paper, a bio-inspired path planning algorithm in 3D space is proposed. The algorithm
imitates the basic mechanisms of plant growth, including phototropism, negative geotropism …

In this paper, both the local minimum and the goal non-reachable with obstacles nearby
(GNRON) problems have been solved on the artificial potential field (APF) for mobile robot …

This paper proposes a novel Dynamic Adaptive Ant Lion Optimizer (DAALO) for route
planning of unmanned aerial vehicle. Ant Lion Optimizer (ALO) is a new intelligent algorithm …