If intelligence is defined as the ability to obtain and apply knowledge, then the robot is intelligent in only the most basic sense, since it can gain information about the status of a square and apply that knowledge to determine where to go next.
However, not only is its algorithm entirely deterministic, but guidelines for the reasoning and logic were generated by an outside source— our group. The robot is analogous to a person being given a piece of paper with instructions on what to do for each step: intuitively, a person following instructions would not be considered intelligent just because they can enact each step.
The robot is not conscious. Intuitively, self awareness is a requirement for consciousness to exist. Even though the robot’s logic is complex, it is entirely predictable; thus, it is impossible for self-awareness, and thus a consciousness, to spawn out of its logic.
Whether or not the robot has a mind depends on the definition of a mind. Since the robot is not alive and the logic is too simplistic for a non-physical mind to form, it would make the most sense to view the mind from a materialistic sense. Through a functionalist lens, the robot appears to make reasoning decisions based on its surroundings like a mind does; through a computationalist lens, the robot processes information (the sensor and bluetooth input) to make a decision. Thus, the robot has a mind.
The most dynamic forms of AI use machine learning, allowing the machine to dynamically improve at its assigned task. Our robot, on the other hand, is entirely algorithmic: if given a board state, the robot will move in the exact same way every time.
Although the robot does fall under the field of symbolic (logic-based) AI, more complex forms of reasoning, such as face identification, are incredibly difficult or impossible to achieve with pre-programmed logic alone.
Thus, machine learning based AI is currently the best way to make AI feasible. Since this project does not use machine learning, our opinion on the feasibility of AI is unaffected.