I will be conducting both library and internet research. I will be gaining more knowledge from books related to robot path finding using a landmark map. I will also be reading through several research papers on this topic. My findings will also be based on observations and experimentation of the algorithm and its implementation on hardware.

As a result of the research, I will be implementing an algorithm on FPGA such that given the home coordinates of the robot, the coordinates of the obstacles, and the coordinates of the final destination, the robot will be able to find the optimal path from the source (home) to the final destination with a given speed.

The new perspective that my research is bringing is that my project explores building an autonomous robot, which does not require GPS signaling or communication with base camp in order to do path-finding. This feature of the robot is unlike the abilities of most of the robots in the industry.

With the advent of artificial intelligence, teaching robots to learn the shortest path and avoid obstacles is an important research topic in robot learning because it helps produce robots that can help in industrialized and military tasks that are riskier for human beings to operate. In the studies, it has been shown that an industrial robot increases productivity by 80%.

My project could be of use in many settings, for example in the homes of seniors to assist them in their daily life. It could also be used in industrial environments where GPS signals cannot be detected properly. These robots could also be used in war zones in underground tunnels where GPS signaling cannot reach.