Prototyping Non-holonomic Hovercraft for Path Planning and Obstacle Avoidance

— By definition, autonomous control systems are thesystems that sense the physical quantities from their environmentand may execute any dirty, difficult, dull and dangerous taskwithout any intervention. These systems are mostly used in thetransportation of large packages from one place to anotherautonomously by selecting the shortest path, accurate speed andobstacle avoidance. This paper describes the development offuzzy based PID control algorithm to tackle the dynamicconstraints of localization for proposed non-holonomichovercraft. Furthermore, in order to monitor the hovercraft thatwhether it is hovering in a familiar or strange environment;paper suggests the incorporation of digital image processingtechnique which will regularly correlate, the images beingcaptured by the prototype. Moreover, paper methodology alsoprovides the deployment way along with the interfacingtechniques of some configurable sensors, which will share theinformation related to the surroundings of hovercraft usinginternet of things (IoT).