The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The obstacle avoidance is the key technology of nonholonomic mobile robot, where obstacle avoidance algorithm is the core. Artificial potential field (APF) algorithm has the advantage of sample mathematical model, which is understood and applied into practice easily. However, there are some problems in APF algorithm, for examples, local minimum and GNRON problem, which limits the effect of APF algorithm...
Obstacle avoidance ability is the significant embodiment of the ground mobile robot, and the basic guarantee of the ground mobile robot to perform various tasks. Obstacle avoidance technologies are divided into two kinds, one is based on the global map and another is based on sensors respectively. This paper mainly aims at the local obstacle avoidance method based on sensors. The study of obstacle...
The autonomous obstacle avoidance planning of USV is the guarantee and the precondition of carrying out the performance. Obstacle avoidance planning is required to possess high accuracy and instantaneity due to a complex environment and faster speed. The algorithm of Artificial Potential Field has the advantage of sample mathematical model, which is easy to understand and implement, and facilitate...
This paper proposes an environment model based on grid, and comes up with a two-layer genetic algorithm mechanism as global parallel optimize searching tool to find optimal path. The first layer is responsible for static obstacles avoidance, while the second layer is responsible for dynamic obstacles avoidance, and these two-layer genetic algorithm mechanism has different fitness functions. Simulation...
An autonomous underwater vehicle (AUV) is implemented with multi-thread technology under QNX Neutrino Real time Operating System. The hybrid system and autonomous control principle of AUV are introduced. The event generator thread and event analysis and decision making thread are two key threads in the autonomous control system to handle discrete events, which are described in detail. Also the histogram...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.