Abstract. Population of simulated agents controlled by dynamical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indic...
This paper is devoted to path following control for port-Hamiltonian systems whose desired path is timevarying. Most of the existing results on path following can only take care of...
This paper presents a methodology based on a variation of the Quintic Pythagorean Hodographs curves for generating smooth feasible paths for autonomous vehicles in three-dimensiona...
Armando Alves Neto, Mario Fernando Montenegro Camp...
— This paper defines and analyzes a simple robot with local sensors that moves in an unknown polygonal environment. The robot can execute wall-following motions and can traverse...
Analyzing the computational complexity of evolutionary algorithms (EAs) for binary search spaces has significantly informed our understanding of EAs in general. With this paper, ...