Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

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 …

In the multiple fields covered by Artificial Intelligence (AI), path planning is undoubtedly one
of the issues that cover a wide range of research lines. To be able to find an optimal solution …

Path planning plays an essential role in mobile robot navigation, and the A* algorithm is one
of the best-known path planning algorithms. However, the traditional A* algorithm has some …

Path planning and obstacle avoidance are essential for autonomous driving cars. On the
base of a self‐constructed smart obstacle avoidance car, which used a LeTMC‐520 depth …

In recent years, a large number of manipulator robots have been deployed to replace or
assist humans in many repetitive and dangerous tasks. Yet, these robots have complex …

Local path planning considering static and dynamic obstacles for a mobile robot is one of
challenging research topics. Conventional local path planning methods generate path …

The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …

A multi-agent robot system (MARS) is one of the most important topics nowadays. The basic
task of this system is based on distributive and cooperative work among agents (robots). It …

This paper presents an online path planning approach for an autonomous tracked vehicle in
a cluttered environment based on teaching–learning-based optimization (TLBO) …