Smart Robot Design for Terrain Traverse

Exploiting body dynamics, decision making and communication capabilities to control the movement of a robot. This paper proposes a design structure for a robot that uses several controllers and methods to increase mobility while decreasing complexity to control the robot. By analysing, designing and experimenting we aim to improvise mobility, efficiency and control of the robot. With legs modelled by following the alternating walking gaits principle thus resulting in the design structure as a hexapod. The hexapod can traverse on any terrain by using various components such as a camera, radiofrequency sensor and processing algorithms to assist the hexapod in avoiding obstacles and detecting specified objects. Also, incorporating machine learning with a camera will facilitate remote operator or user with more information about the surroundings. The use of distance measurement and object identification has improved object avoidance along with better tracking. With these functionalities, the hexapod would manoeuvre itself to avoid obstacles in any un-mapped environment. By providing locations of the detected objects to the operator and logging this information into cloud services for further analysis the semi-automated hexapod with efficient mobility and reduced response time can be used for vast applications in disaster management, interstellar explorations and numerous other fields.