To improve the practical performance of task planning for unmanned ground vehicles,
geographical features, limited onboard energy, and ordering constraints are urgent to be …

To improve energy awareness of unmanned autonomous vehicles, it is critical to co-optimize
task planning and energy scheduling. To the best of our knowledge, most of the existing task …

Due to the vastly different energy consumption between up-slope and down-slope, a path
with the shortest length in a complex off-road terrain environment (2.5 D map) is not always …

A safe and reliable task planning method is a prerequisite for the collaborative execution of
ocean observation data collection tasks by multiple unmanned surface vessels (multi-USVs) …

Task planning involving multiple unmanned aerial vehicles (UAVs) is one of the main
research topics in the field of cooperative unmanned aerial vehicle control systems. This is a …

The unmanned lunar rover is essential for lunar exploration and construction. Executing
environment differ from what humans get since communication needs time from Earth to …

In the path planning problem based on geographic information system, distance and
resource overhead often conflict with each other. For example, the shortest path may not be …

With the growing demands on green short life-cycle products, advanced energy-aware
process planning (AEPP) becomes critical. A major limitation of the existing methods is the …

Unmanned aerial vehicles (UAVs) have emerged as a promising candidate solution for data
collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a …

Due to the complexity and uncertainty of the traffic, planning for autonomous driving (AD) on
highway is challenging. Traditional planning algorithms have the problems of low and …