Autonomous mobile robot path planning is considered as a complex task in unknown, highly
uncertain and dynamic environments. The presence of diverse and uncertain objects …

With the development of technology, mobile robots are becoming more and more common
in industrial production and daily life. Various rules are set to ensure that mobile robots can …

We improve the traditional Q (λ λ)-learning algorithm by adding the obstacle area expansion
strategy. The new algorithm is named OAE-Q (λ λ)-learning and applied to the path planning …

This paper proposes a general framework to establish the dynamic movement primitives
library (DMPL) for a mobile robot path planning in unknown environment. Based on DMPL …

Autonomous unmanned vehicles are preferable in patrolling, surveillance and, search and
rescue missions. Multi-agent architectures are commonly used for autonomous control of …

针对在单一学习机制中, 移动机器人自主导航一般只适用于静态场景, 适应性差的问题,
提出一种动态场景自适应导航方法. 该方法通过激光测距仪(LRF) 获取周围环境的距离信息 …

The Autonomous mobile robots have vast applications which include industrial robots,
service robots, drone-based robots for supplying customer goods, robots for space …

Path planning for automated driving vehicle in wide, unstructured toll gate is a difficult task
while several surrounding vehicles are driving with almost random behavior. To deal with …

Automated planning and scheduling are increasingly utilised in solving evsery day planning
task. Planning in domains with continuous numeric changes present certain limitations and …