  One of the main issue in robotics is the lack of embedded computational
power. Recently, state of the art algorithms providing a better understanding
of the surroundings (Object detection, skeleton tracking, etc.) are requiring
more and more computational power. The lack of embedded computational power is
more significant in mass-produced robots because of the difficulties to follow
the increasing computational requirements of state of the art algorithms. The
integration of an additional GPU allows to overcome this lack of embedded
computational power. We introduce in this paper a prototype of Pepper with an
embedded GPU, but also with an additional 3D camera on the head of the robot
and plugged to the late GPU. This prototype, called Adapted Pepper, was built
for the European project called MuMMER (MultiModal Mall Entertainment Robot) in
order to embed algorithms like OpenPose, YOLO or to process sensors information
and, in all cases, avoid network dependency for deported computation.
