Due to recent advances in machine learning, there has been an explosive development of
multiple methodologies that automatically extract information from architectural floor plans …

In this paper, we present a novel path planning algorithm called Kinematic Constrained Bi-
directional Rapidly-exploring Random Tree with Efficient Branch Pruning (KB-RRT*), which …

Designing architectural layouts is a complex task that has garnered significant attention in
the research community. While automated site layout design and flat layout design have …

Mobile robot autonomous path planning is an essential factor for its wide deployment in real-
world applications. Conventional sampling-based algorithms have gained tremendous …

Nowadays, many people frequently have to search for new accommodation options.
Searching for a suitable apartment is a time-consuming process, especially because visiting …

Human's imagination capability provides recognition of unseen environment which should
be improved in robots in order to have better mapping, planning, navigation and exploration …

Path planning is a key component in mobile robotics. A wide range of path planning
algorithms exist, but few attempts have been made to benchmark the algorithms holistically …

A robot path planning algorithm based on reinforcement learning is proposed. The algorithm
discretizes the information of obstacles around the mobile robot and the direction …

With the recent advances in machine learning, path planning algorithms are also evolving;
however, the learned path planning algorithms often have difficulty competing with success …

Autonomous exploration is a fundamental task for mobile robots. However, a major limitation
is that in practical applications, robots usually face dynamic obstacles such as pedestrian …