We propose a model for path-planning based on single performance metric that accurately accounts the potential (spatially inhomogeneous) cost of breakdowns and repairs. These random happen at known (also spatially rate can be one two types: total, which halt all movement until an in-place repair is completed, or partial, after continues in damaged state. use framework piecewise-deterministic Ma...

In this article we demonstrate that acceleration and deceleration of direction-turning drones at waypoints have a significant influence to path planning which is important be considered for time-critical applications, such as drone-supported search rescue. We present new approach takes into account. It follows local gradient ascend strategy locally minimizes turns while maximizing probability a...

Probability models are emerging as a promising framework to account for “intelligent” behavior. In this article, probability propagation is discussed model agent's motion in potentially complex grids that include goals and obstacles. Tensor messages the state-action space (due grid structure, states 2-D concomitant distributions represented by 3-D arrays), propagated bi-directionally on Markov ...

Indoor venues accommodate many people who collectively form crowds. Such crowds in turn influence people's routing choices, e.g., may prefer to avoid crowded rooms when walking from A B. This paper studies two types of crowd-aware indoor path planning queries. The Crowd-Aware Fastest Path Query (FPQ) finds a with the shortest travel time presence crowds, whereas Least Crowded (LCPQ) encounterin...