  We present an open-source accessory for the NAO robot, which enables to test
computationally demanding algorithms in an external platform while preserving
robot's autonomy and mobility. The platform has the form of a backpack, which
can be 3D printed and replicated, and holds an ODROID XU4 board to process
algorithms externally with ROS compatibility. We provide also a software bridge
between the B-Human's framework and ROS to have access to the robot's sensors
close to real-time. We tested the platform in several robotics applications
such as data logging, visual SLAM, and robot vision with deep learning
techniques. The CAD model, hardware specifications and software are available
online for the benefit of the community:
https://github.com/uchile-robotics/nao-backpack
