  This paper demonstrates the groundwork for the structure and nature of
Human-Robot Cognitive Coupling.The human mind is best at associating objects,
while digital devices can only compare. Successful communication between robot
and human agents involves translating human thought into unique numbers that
can be compared, and translating these numbers back into a form that humans can
understand. A cognitive robot is one capable of interpreting its own
operational data. Working from a D&D project standpoint with a telerobot, a
system is designed to utilize sensor data, extract usable profiles and
information from them, and then apply them as a means of self-testing for
nominal/off-nominal operations. If operations are considered off-nominal, the
telerobot begins a sequence of recalling and comparing previous off-nominal
occurrences to determine potential corrections. In this manner, a telerobot can
apply previous 'experiences' in order to learn without the need for operator
input. In the cognitive telerobotics, knowledge base is an important component
to store required information. In this paper, a tool-centric knowledge base
with learning capability is presented. In this paper, the knowledge can be
updated based on the reinforcement learning algorithm at both global and local
levels and knowledge fusion by coupling with operator's cognition.
