Abstract

ROSETE, Juan C  and  VEGA, Alejandro. Neurogenetic Algorithms Applied in the Path Planning of a Polar Robot. Inf. tecnol. [online]. 2006, vol.17, n.3, pp.157-165. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642006000300022.

This paper presents the strategy developed to move the end tool of an autonomous robotic arm in a productive environment, by employing virtual environments, genetic algorithms and neural networks. The goal was to obtain all the movements required to perform a specific action. In this way, the system is capable of guiding the end tool and avoiding the obstacles along its path, as well as determining the spatial and articular combination that allow to reduce the number of movements and minimizes the distance between them. The process resulted in producing a viable tool for programming and training which substantially reduced the average time required by the human element for training the robot.

Keywords : neural network; genetic algorithm; robotic arm; path planning.