This paper introduces a reactive navigation framework for mobile robots in 3-dimensional
(3D) space. The proposed approach does not rely on the global map information and …

Path planning is one of the fundamental problems in robotics. Due to the advancement in
technology, the application of mobile robots has increased in recent years, not only in the …

The path planning and tracking problem of the multi-robot system (MRS) has always been a
research hotspot and applied in various fields. In this article, a novel multi-robot path …

This paper presents a method for LiDAR sensor-based traversability analysis for
autonomous mobile robots in urban environments. Although urban environments are …

The main objective of this research is to study the obstacle avoidance, monte carlo
localization (MCL) method, motion planning in dynamic networks for mobile robots, and …

This paper proposes a local path planning method based on virtual manipulators and
dynamic window approach (VMDWA) for a wheeled mobile robot. In the conventional …

Recently, the robots market is growing rapidly, and robots are being applied in various
industrial fields. In the future, robots will work in more complex and diverse environments …

This paper proposes reinforcement learning methods to perform an object transportation
task for multiple robots. This task consists of two main subtasks, path planning and motion …

A new path planning method for Mobile Robots (MR) has been developed and
implemented. On the one hand, based on the shortest path from the start point to the goal …

This paper presents an end-to-end online learning navigation method based on deep
reinforcement learning (DRL) for mobile robots, whose objective is that mobile robots can …