In this work, we tested Simultaneous localization and mapping (SLAM) about mobile robots
in indoor environment, where all experiments were conducted based on the Robot …

With the advancement of telecommunications, sensor networks, crowd sourcing, and remote
sensing technology in present days, there has been a tremendous growth in the volume of …

With the increasing frequency of autonomous driving, more and more attention is paid to
personalized path planning. However, the path selection preferences of users will change …

Many events such as large-scale activities and traffic accidents could cause an increase in
vehicle density in an area, which makes the evacuation of vehicles important. However, the …

This paper focuses on a specific stochastic shortest path (SSP) problem, namely the
punctuality problem. It aims to determine a path that maximizes the probability of arriving at …

The optimal path planning is one of the hot spots in the research of intelligence
transportation and geographic information systems. There are many productions and …

Vehicle navigation is widely used in path planning of self driving travel, and it plays an
increasing important role in people's daily trips. Therefore, path planning algorithms have …

In nature, there are many disasters that may threaten the safety of human life, such as house
collapse caused by earthquakes, fires, etc. The danger and complexity of the rescue …

To achieve fast and accurate adjustment of robotic fish, this paper proposes state prediction
model based on the extreme learning machine optimized by particle swarm algorithm. The …