Adapted Pepper
Maxime Caniot, Vincent Bonnet, Maxime Busy, Thierry Labaye, Michel, Besombes, Sebastien Courtois, Edouard Lagrue

TL;DR
This paper presents Adapted Pepper, a robot prototype with an embedded GPU and additional sensors, enabling advanced perception algorithms to run locally without network reliance, addressing embedded computational power limitations in mass-produced robots.
Contribution
Introduction of a novel Pepper robot prototype with embedded GPU and extra sensors to support real-time, local processing of advanced perception algorithms.
Findings
Successful integration of GPU and sensors into Pepper
Enabling local execution of algorithms like OpenPose and YOLO
Reduced dependency on external computation resources
Abstract
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…
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Taxonomy
TopicsMusic History and Culture
MethodsOpenPose · You Only Look Once
