The current findings are the first to have used neuroimaging techniques in humans to segregate the functional anatomy of the internal globus pallidus from external globus pallidus, distinguish functional activation in the globus pallidus from the putamen, and demonstrate task-dependent scaling in the subthalamic nucleus and internal globus pallidus.
In her thesis, Shah was able to show that using the Chaski system could reduce human idle time by up to 85percentt as compared to when an individual had to demonstrate tasks step-by-step to robots.
Three case studies demonstrated task overlap modeled productivity gains typical of expert operators, VOM control outputs adapted as trench depth and pile height increased, and the VOM adapted to different excavator models automatically.
These result in high degrees of accuracy in accomplishing the demonstrated task, which are then translated to subsequent teaching to other robots.
The reaching analysis demonstrates task-specificity in training since BATRAC improves performance in bilateral reaching and DMTE improves performance in unilateral reaching.
In addition, connectivity analyses demonstrated task-dependent functional connectivity patterns between dACC and inferior temporal cortex for attentional switching and between dACC and posterior parietal cortex for response conflict.
However, numerous neuroimaging studies of WM have demonstrated task-related hypofrontality in schizophrenia patients [14], [15].
But with PbD, even a non-expert can program a robot to complete a specific task by demonstrating the task themselves.
As a Ph.D. student, he developed the concept of "apprenticeship learning," in which machines learn by first observing humans demonstrate the task.
These results clearly demonstrate that task integration is an important factor for embodied learning.
