Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...
Abstract—We first present a problem called precedence constrained two traveling salesman (PC2TSP). We propose a nearoptimal heuristic to PC2TSP to generate tours by clustering p...
Ant robots have very low computational power and limited memory. They communicate by leaving pheromones in the environment. In order to create a cooperative intelligent behavior, ...
Asaf Shiloni, Alon Levy, Ariel Felner, Meir Kalech
—Autonomous wireless agents such as unmanned aerial vehicles, mobile base stations, or self-operating wireless nodes present a great potential for deployment in next-generation w...
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...