Mobile robot path planning involves designing optimal routes from starting points to
destinations within specific environmental conditions. Even though there are well …

Mobile robots can travel by acquiring the information using sensor-actuator control
techniques from surrounding and perform several tasks. Due to the ability of traversing …

Planning of desired path direction for mobile robots is the art of finding a suitable and
efficient path without any collision. It may be classified based on the nature of obstacles …

Artificial potential field (APF) is the effective real-time guide, navigation, and obstacle
avoidance for UAV Quadrotor. The main problem in APF is local minima in an obstacle or …

A mobile service robot operates in a constantly changing environment with other robots and
humans. The service environment is usually vast and unknown, and the robot is expected to …

Purpose This paper aims to incorporate a hybridized advanced sine-cosine algorithm
(ASCA) and advanced ant colony optimization (AACO) technique for optimal path search …

The prime challenge in a humanoid robot is its stability on two feet due to the presence of an
underactuated system. In this paper, the complete dynamics of the humanoid robot has been …

Vision-based mobile robots often suffer from the difficulties of high nonlinear dynamics and
precise positioning requirements, which leads to the development demand of more powerful …

Fuzzy logic is widely known as a value-based technique. Whale optimization algorithm
(WOA), on the other hand, is a nature-inspired optimization technique. Hybridization of these …

With the wide application of unmanned ground vehicles (UGV) in a complex environment,
the research on the obstacle avoidance system has gradually become an important …