Deep learning based models on the edge devices have received considerable attention as
a promising means to handle a variety of AI applications. However, deploying the deep …

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 …

As positioning sensors, edge computation power, and communication technologies continue
to develop, a moving agent can now sense its surroundings and communicate with other …

This work illustrates an innovative localisation sensor network that uses multiple PIR and
ultrasonic sensors installed on a mobile social robot to localise occupants in indoor …

This study proposes a 3D attitude estimation algorithm using the RMPE algorithm coupled
with a deep neural network that combines human pose estimation and action recognition …

Abstract Service robots are increasingly integrating into our daily lives to help us with
various tasks. In such environments, robots frequently face new objects while working in the …

A 3D classification method requires more training data than a 2D image classification
method to achieve good performance. These training data usually come in the form of …