The Fly Algorithm for Robot Navigation
نویسندگان
چکیده
The fly algorithm is a strategy employed for 3D reconstruction of scenes, which employs the genetic algorithms and stereovision principles to determine clusters of points corresponding to different objects present in scene. The obtained reconstruction is partial, but enough to recognize obstacles in the robot space work. This 3D reconstruction strategy also allows to know the dimensions of the detected objects. Many parameters are involved in the fly algorithm, and then it is difficult to assign the optimal values for the best performance. In this work we test different parameters values, analyze the results and present some improvements to the algorithm considering the fly algorithm can be employed in robot navigation.
منابع مشابه
A Navigation System for Autonomous Robot Operating in Unknown and Dynamic Environment: Escaping Algorithm
In this study, the problem of navigation in dynamic and unknown environment is investigated and a navigation method based on force field approach is suggested. It is assumed that the robot performs navigation in...
متن کاملDynamic Obstacle Avoidance by Distributed Algorithm based on Reinforcement Learning (RESEARCH NOTE)
In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...
متن کاملNavigation of a Mobile Robot Using Virtual Potential Field and Artificial Neural Network
Mobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the track using a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in ...
متن کاملA New Method of Mobile Robot Navigation: Shortest Null Space
In this paper, a new method was proposed for the navigation of a mobile robot in an unknown dynamic environment. The robot could detect only a limited radius of its surrounding with its sensors and it went on the shortest null space (SNS) toward the goal. In the case of no obstacle, SNS was a direct path from the robot to goal; however, in the presence of obstacles, SNS was a space around the r...
متن کاملA New Method of Mobile Robot Navigation: Shortest Null Space
In this paper, a new method was proposed for the navigation of a mobile robot in an unknown dynamic environment. The robot could detect only a limited radius of its surrounding with its sensors and it went on the shortest null space (SNS) toward the goal. In the case of no obstacle, SNS was a direct path from the robot to goal; however, in the presence of obstacles, SNS was a space around the r...
متن کاملEffective Mechatronic Models and Methods for Implementation an Autonomous Soccer Robot
Omni directional mobile robots have been popularly employed in several applications especially in soccer player robots considered in Robocup competitions. However, Omni directional navigation system, Omni-vision system and solenoid kicking mechanism in such mobile robots have not ever been combined. This situation brings the idea of a robot with no head direction into existence, a comprehensi...
متن کامل