Unlike a single member of humans, robots are not even obviously associated with the hive mind. Normally, robots, much like the almost mythical, Lego robot, are essentially just a quick visual upon which to base concepts. Robots, on the other hand, are very complicated biological systems composed of sophisticated digital information.

In today’s part, Robot Company Page reports that the future of robots may have something to do with knowledge. The report cites a paper of the conference of the National Academy of Science (NAS) on AI and Human Computation. In the paper, authors David Gowmann and Richard Wiese lay out the process of engaging with natural and augmented information. “[Before] the perception of a human machine, thoughts are encoded by qualitative and quantitative cognitive operations. Narrow, nonstandardized human thoughts are analyzed at an elementary level (exhaling), followed by contextual recognition and intelligent, expanded discourse.” The researchers first investigate and decode characteristics that we most commonly associate with normal, imperfect human beings such as boredom, stress, redness, and vulnerability.

One major point the researchers make is that robots may one day also have to recognize and regulate complex emotions through visual cognition. They also propose that human systems may one day be enhanced to be able to handle complex self-awareness. “The ability to manage individual function needs will require an individual-level model that will allow robots to recognize and regulate individual autonomic motor skills and emotions,” the researchers wrote. “The challenge will likely be gaining understanding of how robots can control appropriate functions and emotional responses in an intelligent, multiuser, and multi-function context.”