[PDF] Top 20 Fuzzy Logic Genetic Algorithm Neural Network for Mobile Robot Navigation: A Survey

... the robot needs to attain in order to safely drive on the ...–based robot navigation algorithm using RFID technology and fuzzy logic is presented in ...The fuzzy ... See full document

... global navigation problem deals with navigation on a larger scale in which the robot cannot observe the goal state from its initial ...on robot navigation is landmark based relying on ... See full document

... in mobile multimedia network communication ...the network access based on resource ...a survey of different CAC schemes used for mobile multimedia networks using soft computing ... See full document

... Neural network edge detection is associate rising field that consists of complementary parts of fuzzy logic, neural computing and biological process ...computation. Neural ... See full document

... like fuzzy logic and neural networks have been presented and developed for the purpose of mobile robot trajectory ...a fuzzy approach to the problem of mobile robot ... See full document

... learning-based algorithm is presented in ...layer neural network that does not require adjustment of weights, is combined with reinforcement Q-learning [27] to enable online ...proposed ... See full document

... of mobile robot in navigation has gained much interest for ...autonomous mobile robot that able to explore and identify the surrounding area especially in hazardous ...in ... See full document

... heterogeneous network contains UMTS, WLAN and WiMAX integrated networks in which algorithms are tested and new modules were implemented to find the most suitable approach for traffic sharing which supports both ... See full document

... the mobile robot to navigate towards the target while avoiding any obstacles in its ...multi-layer neural network is trained using Levenberg- Marquardt backpropagation algorithm in ... See full document

... T2 fuzzy sets, we firstly choose to test the robot navigation in a complex place, like a narrow ...T2 fuzzy logic, we make simulations as follows: We tested T1 fuzzy logic ... See full document

... on fuzzy logic optimized using genetic algorithm to model the musculoskeletal ...technique, genetic algorithm is used in designing fuzzy modes, particularly for generating ... See full document

... forward neural network is proposed to recognize the emotions based on optimized ranges of ...the network. The network is considered as a model with a structure of 1 input neuron, 1 hidden ... See full document

... FLS algorithm using Webots™, 8 E-puck robots are ...a robot finds a target, it modifies its heading; and then heads directly towards the target until it becomes close enough to ...The robot then ... See full document

... such as marketing, finance, banking, manufacturing, and telecommunications. Database theories and tools provide the necessary infrastructure to store, access and manipulate data. Data warehousing, a recently popularized ... See full document

... The components of the human body system (such as the respiratory system, digestive, urinary, cardiovascular, endocrine, immune, muscular, and sight) are placed in separate operating software. Each expert based on his\her ... See full document

... Cancer is the most common cause of death these days. Although, it is no longer incurable. With the help of new technologies, new medicines, immunization therapy, with the help of ayurvedic medicines, and proper food, ... See full document

... a mobile robot to track and follow an object moving on an indoor flat ...the robot and sends the image via wireless connection to a host ...the mobile service robot. A Fuzzy ... See full document

... From the above comparative study, we found that the proposed ANFIS speed controller provides smooth speed control performance with less amount of settling time, peak overshoot and steady state error when compared to the ... See full document

... Anumod, D.M. ; Devesh Raj, M.[17] describes optimal power flow based on particle swarm optimization in which the power transmission loss function is used as the problem objective. Although most of optimal power flow ... See full document

... type-2 fuzzy logic applying two algorithms for training type-2 fuzzy ...type-2 fuzzy logic can be helpful in effort estimation of software projects and increase the accuracy ... See full document