Humanoid intelligence requires humanoid interactions with the world. Avoiding flighty anthropomorphism, you can consider Cog to be a set of sensors and actuators which tries to approximate the sensory and motor dynamics of a human body.

Cog was a project at the Humanoid Robotics Group of the Massachusetts Institute of Technology. It was based on the hypothesis that human-level intelligence requires gaining experience from interacting with humans, like human infants do.

MIT Artificial Intelligence Laboratory, Humanoid Robotics Group -- Cog project

To explore issues of developmental structure, physical em-bodiment, integration of multiple sensory and motor systems, and social interaction, we have constructed an upper-torso humanoid robot called Cog.

Mar 13, 1999 · Meet Cog, the humanoid robot that's kicking off this grand adventure and the only machine of its kind in the United States. Now four years old, it is a testbed for Professor Brooks' and colleagues' ideas about how to build an intelligent robot.

We have implemented several mechanisms on Cog that use multimodal integration to aid in increasing performance or developing competencies. For example, we have implemented a system that stabilized images from a moving camera using vestibular feedback.

AI Lab : Cog the Humanoid Robot Share Humanoid intelligence requires humanoid interactions with the world, according to Professor Rodney Brooks, director of the MIT Artificial Intelligence Lab.

Cog is a single hardware platform which seeks to bring together each of the many subfields of Artificial Intelligence into one unified, coherent, functional whole. It is the "mind child" of Prof. Rodney Brooks and was developed at the MIT AI Lab starting in the mid-1990s.

Cog is a prototype robot, and as such, we didn't take steps to formalize the design process or make it reproducible in any way. The robot is just hack on a kludge to a "temporary solution," held together with Velcro, 24AWG wire, and solder.

The Cog robot was a platform that hosted a range of research efforts between 1994 and 2003, but the most notable work revolved around four central themes: building behaviors by following a developmental progression, reliance on social interaction