Empirical Study of Motion Planning in Robotic Control Model
A robot is a device which behaves like an artificial agent and it is also called as an electro mechanical machine which is based on autonomous control. Robot is based on various control motions which is controlled by planning, Electronic sensor, Digital signals, Computer mechanics, Coordination, Actuation, Learning and adaptation. Motion-planning is an important primitive for autonomous mobile robots that lets robots find the shortest motion or optimal motion between two points. In this paper we present a probabilistic grid-based approach for modeling changing environments, which considered as the process of navigating the mobile robot around a configured space, which has a number of obstacle in it, that have to be avoided.
Nisha P. Zode, Ujwal A. Lanjewar, Bhaskar Y. Kathane