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 article provides a detailed analysis of the assessment of unmanned ground vehicle
terrain traversability. The analysis is categorized into terrain classification, terrain mapping …

路径规划是移动机器人的热门研究之一, 是实现机器人自主导航的关键技术.
针对移动机器人路径规划的算法进行研究, 以了解不同条件下路径规划算法的发展与应用 …

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

To solve the problems of poor exploration ability and convergence speed of traditional deep
reinforcement learning in the navigation task of the patrol robot under indoor specified …

This paper focuses on exploring conflict-free routes for automated guided vehicles (AGVs)
based on quick response (QR) code technology. Intelligent warehousing has become an …

This paper is concerned with the autonomous effective collision avoidance strategy for
multiple unmanned aerial vehicles (multi-UAV) in limited airspace under the framework of …

Deep reinforcement learning (DRL) provides a new solution for autonomous robotic path
planning in a known indoor environment. Previous studies mainly focused on robot path …

For many years, a manned mission to Mars has been a challenge for humanity. However,
the recent technological advances in human factors and space systems engineering may …

A mobile robot path planning method based on improved deep reinforcement learning is
proposed. First, in order to conform to the actual kinematics model of the robot, the …