AI borrowed from biological models transformed into robotics. When I was in undergrad, I had started a project as extra credit in artificial intelligence. At that time, as an electrical engineering student, this topic was mainly offered to graduate students. Fortunately, in our gymnastic team there were two graduate students studying AI. During practice, we collaborated research in artificial neural networks, a type of AI based on biological neurons as opposed to software based AI based on code. If there is a common ground for computer scientists and neurobiologists in robotics, biological wetware, and information theory, I believe there is a common ground. This question was recently presented at a TED talk where the AI researcher studied intelligent patterns of fish swarms to replicate this intelligent algorithm to robotics. The swarm of robots could form a pattern of a letter such as G (Nagpal, 2017). By picking a simple behavior in nature and taking that algorithm and shaping it into a form such as robotics can spark the student’s imagination.
Nagpal, R. (2017, April). What intelligent machines can learn from a school of fish. Retrieved from https://www.ted.com/talks/radhika_nagpal_what_intelligent_machines_can_learn_from_a_school_of_fish