Navigation is an essential skill for robots. It becomes a cumbersome task for the robot in a
human-populated environment, and Industry 5.0 is an emerging trend that focuses on the …

The field of learning-based navigation for mobile robots is experiencing a surge of interest
from research and industry sectors. The application of this technology for visual aircraft …

This study uses PID (Proportional-Integral-Derivative), fuzzy logic, and deep learning
algorithm to experimentally achieve real-time position control of a four-wheel-drive …

The improvement of social robots have significantly increased, having in view an intelligent
mobile robot system, that must be able to perform basic tasks, without compromising the …

Automation is increasing with the advent of 3D-and depth images using an infrared camera.
Formerly, most of the object detection and recognition were done by a 2D-camera of Red …

With the advance of deep learning techniques, social robots can have more powerful
perception and interaction capabilities. However, the problem of finding a socially aware …

In this study, we propose a method of social interactive human intention prediction and
categorization for socially aware robot navigation in dynamic social environments. The …

Estimating the location and orientation of humans is an essential skill for service and
assistive robots. To achieve a reliable estimation in a wide area such as an apartment …

Artificial intelligence (AI) is widely used in social sciences and continues to evolve. Deep
learning (DL) has emerged as a powerful AI tool transforming social sciences with valuable …

With growth in intelligence of mobile robots, interaction with humans is emerging as a very
important issue for mobile robots and the pedestrian tracking technique following the …