Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …

In this paper, an artificial potential field based navigational controller has been developed
for motion planning of humanoid robots. Here, NAO robots are used as the humanoid …

Prim's algorithm has demonstrated a very effective and selective method of solving the
minimum spanning tree optimization problems. It is a greedy algorithm that starts from an …

A phenomenal surge in data generation, accessibility, storage, and processing hardware
capacitates the artificial intelligence (AI)-based learning algorithms to solve the nature …

This paper emphasizes on Bacterial Foraging Optimization Algorithm for effective and
efficient navigation of humanoid NAO, which uses the foraging quality of bacteria …

Purpose To navigate humanoid robots in complex arenas, a significant level of intelligence
is required which needs proper integration of computational intelligence with the robot's …

Purpose Humanoids have become the center of attraction for many researchers dealing with
robotics investigations by their ability to replace human efforts in critical interventions. As a …

The prediction and decision-making features of the artificial neural network have been
applied to several robotic related research works. Humanoid robot navigation is a …

With increasing demand towards use of biped robots in industrial automation and other
related applications, navigation and path planning has emerged as one of the most …

With an ability to mimic the human behaviour and replace human efforts in proper platforms,
humanoid robots have always acquired a special place among robotics practitioners. Being …