Prototyping Non-holonomic Hovercraft for Path Planning and Obstacle Avoidance

Abstract

— By definition, autonomous control systems are the
systems that sense the physical quantities from their environment
and may execute any dirty, difficult, dull and dangerous task
without any intervention. These systems are mostly used in the
transportation of large packages from one place to another
autonomously by selecting the shortest path, accurate speed and
obstacle avoidance. This paper describes the development of
fuzzy based PID control algorithm to tackle the dynamic
constraints of localization for proposed non-holonomic
hovercraft. Furthermore, in order to monitor the hovercraft that
whether it is hovering in a familiar or strange environment;
paper suggests the incorporation of digital image processing
technique which will regularly correlate, the images being
captured by the prototype. Moreover, paper methodology also
provides the deployment way along with the interfacing
techniques of some configurable sensors, which will share the
information related to the surroundings of hovercraft using
internet of things (IoT).