The performance optimization of UAV communication systems requires the joint design trajectory and efficiently. To tackle challenge infinite variables arising from continuous-time optimization, a commonly adopted approach in existing literature is by approximating with piecewise-linear path segments connected via finite number waypoints three-dimensional (3D) space. However, this may still incu...

We have evolved to operate within a dynamic visual world in which natural visual signals are not random but have various statistical regularities. Our rich experience of the probability structure of these regularities could influence visual computation. Considering that spatiotemporal regularity, co-linearity and co-circularity are common geometrical regularities in natural scenes, we explored ...

An [a, b] path partition is a decomposition of the edges of a graph into a independent path sets and b matchings, where an independent path set is a set of paths that do not intersect each other. The path partition problem is related to other edge partition problems, such as edge coloring. It is shown that every graph with maximum degree 3 has a [LO] path partition, and every graph with maximum...

Animating goal-driven agents in an environment with obstacles is a time consuming process, particularly when the number of agents is large. In this paper, we introduce an efficient algorithm that creates path plans for objects that move between user defined goal points and avoids collisions. In addition, the system allows “culling” of some of the computation for invisible agents: agents are acc...

this paper proposes a simple but efficient technique to control 3d overhead crane. load musttrack a desired path and not sway more than a reasonable range.the proposed method uses pidcontrol for trolley to track the desired path and fuzzy control compensation to eliminate the loadswing. only the projection of swing angle is applied to design the fuzzy controller. no plantinformation of crane is...

In this paper we introduce an improvement in the path planning algorithm for the humanoid soccer playing robot which uses Ferguson splines and PSO (Particle Swarm Optimization). The objective of the algorithm is to find a path through other playing robots to the ball, which should be as short as possible and also safe enough. Ferguson splines create preliminary paths using random generated para...