Dynamic path planning involves finding the most efficient path between the beginning and
the destination in an unfamiliar and constantly changing environment while avoiding fixed …

The application of mobile robot's path planning and navigation in known map scenarios has
been well-established. However, with the absence of a known map, the challenge lies in …

Path planning is the most fundamental necessity for autonomous mobile robots.
Traditionally, the path planning problem was solved using analytical methods, but these …

Existing mobile robots cannot complete some functions. To solve these problems, which
include autonomous learning in path planning, the slow convergence of path planning, and …

Path planning refers to that the mobile robot can obtain the surrounding environment
information and its own state information through the sensor carried by itself, which can …

The path planning is one of the hottest issues of the mobile robotics, which is to find an
optimized path for the robot to reach the target location from a start position. In this research …

Path planning is an important problem with the the applications in many aspects, such as
video games, robotics etc. This paper proposes a novel method to address the problem of …

With the advancement of robotics, the field of path planning is currently experiencing a
period of prosperity. Researchers strive to address this nonlinear problem and have …

This article provides an overview of a robotics project that explores path planning
techniques using deep learning and reinforcement learning. The goal of the project is to …

Path planning is an important part of the research field of mobile robots, and it is the premise
for mobile robots to complete complex tasks. This paper proposes a reflective reward design …