Autonomous system (mathematics)

About: Autonomous system (mathematics) is a research topic. Over the lifetime, 1648 publications have been published within this topic receiving 38373 citations.

Intelligent Autonomous Navigation forMobile Robots: Spatial Concept Acquisition andObject Discrimination*

Abstract: Anautonomous system able toconstruct its own navigation strategy formobilerobotsisproposed. The navigation strategy ismoldedfromnavigation experiences (succeeding astherobotnavigates) according toa classical reinforcement learning procedure. Theautonomous system is basedonmodular hierarchical neural networks. Initially the navigation performance ispoor(manycollisions occur). Computer simulations showthatafter aperiod oflearning the autonomous system generates efficient obstacle avoidance and target seeking behaviors. Experiments alsooffer support for concluding thattheautonomous system develops avariety of object discrimination capability andofspatial concepts.

Pid based hierarchical autonomous system performance maximization of a hybrid unmanned aerial vehicle (huav)

Abstract: In this article, preliminary and conceptual design, dynamic modeling and flight dynamics modes of an unmanned aerial vehicle which have both helicopter flight mode and fixed-wing aircraft flight mode is researched. The air vehicle (ZANKA-IV) which will be produced in Erciyes University Faculty of Aeronautics and Astronautics Drone Laboratory captures both passive and active morphing properties. Furthermore, this hybrid unmanned aerial vehicle (HUAV) will be controlled by PID based autopilot system. In this paper, as the first time, sizes of morphing apparatuses and autonomous system are determined simultaneously in order to maximize autonomous flight performance. A stochastic optimization method is applied for simultaneous design. As a result, optimum solution is obtained very fast and accurately. Moreover, as a result of this approach, autonomous control of HUAV becomes noticeably efficient. 10% improvement in autonomous performance index is achieved. Furthermore, the autopilot successfully tracks a reference trajectory with pitching angle of 30 degrees.

Application of a three-component evaluation system for autonomous control in logistics

Abstract: Autonomous control of logistic systems is a potential solution to the problems encountered in modern competitor marketplaces Autonomous control in a logistic system is characterized by the

Local perception maps for autonomous robot navigation

Abstract: This paper describes a mobile robotics system that was implemented and is capable of building instantaneous representations of the free space available, and use those representations to perform navigation. The free space representations are done by means of perception maps specially designed to hold and combine ultrasonic data. The maps are built by neural network appropriately trained to minimise undesired ranging errors due to specular reflections that is achieved by taking advantage of the redundancy of sensorial data. The concept of local navigation is developed as a new navigation approach, and is based on full independence on the environment, relying purely on sensorial perception. Local motion is generated according to simple generic behaviour descriptions: the local navigation strategies. The system which was implemented guarantees a safe local motion throughout the environment, requiring no a priori information nor any pre-defined path to follow. An adequate navigation architecture integrates the local navigation module within a framework of other several modules for more complete navigation tasks. The results obtained are quite promising in pointing the way to a truly autonomous system.