  Robotics systems are complex, often consisted of basic services including
SLAM for localization and mapping, Convolution Neural Networks for scene
understanding, and Speech Recognition for user interaction, etc. Meanwhile,
robots are mobile and usually have tight energy constraints, integrating these
services onto an embedded platform with around 10 W of power consumption is
critical to the proliferation of mobile robots. In this paper, we present a
case study on integrating real-time localization, vision, and speech
recognition services on a mobile SoC, Nvidia Jetson TX1, within about 10 W of
power envelope. In addition, we explore whether offloading some of the services
to cloud platform can lead to further energy efficiency while meeting the
real-time requirements
