Autonomous underwater vehicle plays a more and more important role in the exploration of
marine resources. Path planning and obstacle avoidance is the core technology to realize …

Autonomous underwater vehicles (AUVs) are advanced platforms for detecting and mapping
oil spills in deep water. However, their applications in complex spill environments have been …

A novel path planning approach for autonomous underwater vehicles is proposed in this
paper. It seeks a better navigation path under complex terrain and uncertain ocean currents …

Robotic odor source localization (OSL) has been viewed as a challenging task due to the
turbulent nature of airflows and the resulting odor plume characteristics. The key to solving …

With the development of e‐commerce, the last‐mile delivery has become a significant part of
customers' shopping experience. In this paper, an autonomous last‐mile delivery method …

Ocean currents pose a significant challenge in the path planning of autonomous underwater
vehicles (AUVs), with conventional path-planning algorithms often failing to effectively …

The purpose of this paper is obstacle avoidance and moving target tracking for a quadrotor.
Solving the obstacle crossing problem for the quadrotor includes two parts. The first part is …

Robotic odor source localization (OSL) is a technology that enables mobile robots or
autonomous vehicles to find an odor source in unknown environments. An effective …

This paper presents an olfactory-based navigation algorithm via deep learning (DL)
methods. The object is to obtain a neural network that navigates a mobile robot to find an …

This article presents a new olfactory-based navigation algorithm that guides a mobile robot
to find odor sources in unknown environments. The proposed navigation algorithm takes …