Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as
augmented/virtual reality online games, autonomous driving, and smart everything, which …

The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …

Path planning is one of the key technologies for mobile robot applications. However, the
traditional robot path planner has a slow planning response, which leads to a long …

A UUV can perform tasks such as underwater surveillance, reconnaissance, surveillance,
and tracking by being equipped with sensors and different task modules. Due to the complex …

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 …

Real-time path planning typically aims to obtain a collision-free and shorter path with lower
computational complexity for UAVs in unknown environment. Apart from the above basic …

In the realm of robotics research, there is a strong focus on trajectory planning and control,
driven by the increasing need to integrate robots across diverse industries. Drawing on the …

Cooperative formation control of unmanned ground vehicles (UGVs) has become one of the
important research hotspots in the application of UGV and attracted more and more attention …

This paper presents a deep reinforcement learning based robot outdoor navigation method
using visual information. The deep q network (DQN) maps the visual data to robot action in a …

In order for robots to navigate through complex and ever-changing environments, avoid
obstacles, and arrive at their destination as fast as possible, they require effective path …