Now showing items 1-3 of 3
A vision-based fuzzy logic and neural network approach to the control of hyper-redundant robot manipulators
Hyper-redundant robot manipulators possess a very large degree of kinematic redundancy and are capable of motion similar to that of snakes and elephant trunks. Because of the computational burden required to calculate the ...
Genetic algorithm tuning of a fuzzy logic controller for a dynamic system
This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy logic based controller. The basic mechanics of both the fuzzy logic control system and the genetic algorithm are presented ...
A path planning and obstacle avoidance hybrid system using a connectionist network
Automated path planning and obstacle avoidance has been the subject of intensive research in recent times. Most efforts in the field of semiautonomous mobile-robotic navigation involve using Artificial Intelligence search ...