Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

This paper provides a performance comparison of different pathfinding Algorithms used in
video games. The Algorithms have been classified into three categories: informed …

As path planning is an NP-hard problem it can be solved by multi-objective algorithms. In
this article, we propose a multi-objective path planning algorithm which consists of three …

We present Neural A*, a novel data-driven search method for path planning problems.
Despite the recent increasing attention to data-driven path planning, machine learning …

The use of BIM is becoming increasingly important in the AEC industry because the included
dataset enables the automation of many processes. One emerging application of BIM is the …

Path planning is an NP-hard problem that is aimed to satisfy multi-constraint optimization
requirements. In autonomous robotics applications, path planning together with collision …

A marine autonomous surface vehicle (ASV) is a kind of autonomous marine robot with
intelligent and flexible use advantages. They are mainly divided into two categories …

Robots have recently gained a great attention due to their potential to work in dynamic and
complex environments with obstacles, which make searching for an optimum path on-the-fly …

Data-driven methods such as reinforcement and imitation learning have achieved
remarkable success in robot autonomy. However, their data-centric nature still hinders them …

Online coverage planning can be useful in applications like field monitoring and search and
rescue. Without prior information of the environment, achieving resolution-complete …