18 results with keyword: 'nao robot fuzzy obstacle avoidance in virtual environment'
In [4] a fuzzy logic technique for Romeo Autonomous Vehicle Navigation is proposed , an on ‐ line navigation technique for a wheeled mobile robot in an unknown
N/A
The simulation results show that FOQL avoidance obstacles algorithm proposed in this paper has faster convergence rate than the traditional Q-learning and the optimized Q-learning..
N/A
With regards to the HRSG in the case study, it is a need for us to assess the reliability of the HRSG and due time constraint; the reliability will be based only on
N/A
The designed neuro-fuzzy controller was capable of controlling the mobile robot system with smooth translation from goal seeking to obstacle avoidance routines. Obstacle
N/A
This project primarily addresses the design and implementation of fuzzy logic based controller for obstacles avoidance robot. Some techniques, sensors and controller have
N/A
Keywords: FLC, mobile robot, sonar sensors, navigation, fuzzy decision making method, obstacle avoidance , intelligent
N/A
We designed a zero-order TSK type-1 fuzzy logic con- troller for the navigation of a mobile robot in dynamic and unknown environment for obstacle avoidance be- havior.. The
N/A
The direction of the mobile robot will be controlled by one stepper motor that connected to the output of PIC16F877A microcontroller.. The stepper motor will change
N/A
One such example is that when the UN’s Commission on the Status of Women (CSW) held its annual meeting in 2014, the Nordic ministers expressed their joint support for the
N/A
The aim of this project is to develop an avoidance behaviors program for a mobile robot that consists of 4 legs that employs 8 servo motors.. A PIC Microcontroller is
N/A
Navigation and obstacle avoidance in an unknown environment is proposed in this paper using hybrid neural network with fuzzy logic controller.. The overall system is
N/A
This project has the objective of designing a fuzzy logic controller, which will be used to control the navigation process of an autonomous mobile robot in a
N/A
Eventhough IR sensor is more popular than ultrasonic sensor and widely used in mobile robot, ultrasonic is more suitable used in this project for obstacle detection as
N/A
Assume that one fuzzy rule of the fuzzy controller can describe the corresponding subrepulsive force of one surrounding obstacle, and the combination
N/A
1) To develop an obstacle robot that can move it-self without continuous human guidance by using PlC controller as the "brain" of robot to operate. P1C18F8550 will be use
N/A
In the force reflecting obstacle avoidance algorithm (Figure 5.6), if the robot encounters any obstacles along the moving direction, a virtual force, which is
N/A
In the force reflecting obstacle avoidance algorithm (Figure 5.6), if the robot encounters any obstacles along the moving direction, a virtual force, which is
N/A
The main objective of the blimp robot in this research is to detect the ground robot and obstacle in the environment by using fuzzy edge detection algorithm.. Then,
N/A