  An intelligent robot can be used for applications where a human is at
significant risk (like nuclear, space, military), the economics or menial
nature of the application result in inefficient use of human workers (service
industry, agriculture), for humanitarian uses where there is great risk
(demining an area of land mines, urban search and rescue). This paper
implements an experiment on one of important fields of AI Searching Algorithms,
to find shortest possible solution by searching the produced tree. We will
concentrate on Hill climbing algorithm, which is one of simplest searching
algorithms in AI. This algorithm is one of most suitable searching methods to
help expert system to make decision at every state, at every node. The
experimental robot will traverse the maze by using sensors plugged on it. The
robot used is E.V.3 Lego Mind storms, with native software for programming
LabView. The reason we chose this robot is that it interacts quickly with
sensors and can be reconstructed in many ways. This programmed robot will
calculate the best possibilities to find way out of maze. The maze is made of
wood, and it is adjustable, as robot should be able to leave the maze in any
design.
