  With the incremental development of robotic platforms to automate the manual
processes, path planning has become a critical domain with or without the
knowledge of the indoor and outdoor environment. The algorithms can be
intelligent or pre-structured and should optimally reach the destination
efficiently. The major challenge in this domain is to find a path which is free
from static obstacles as well as dynamic obstacles. In this paper, a
methodology is proposed with the implementation details of the robotic platform
to cover the critical key points and to arrive at the original key point in a
dynamic environment. The main computation is happening inside a Raspberry Pi B+
module, and compass, wheel encoders and ultrasonic sensors were used in the
implementation for the localization of the robot to relevant key points.
