Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1

Jie Tang; Yong Ren; Shaoshan Liu

Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1

Robotics 2017-06-01 v1

Authors: Jie Tang , Yong Ren , Shaoshan Liu

Abstract

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

Keywords

simultaneous localization and mapping robotics planetary rover autonomy

Cite

@article{arxiv.1705.10945,
  title  = {Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1},
  author = {Jie Tang and Yong Ren and Shaoshan Liu},
  journal= {arXiv preprint arXiv:1705.10945},
  year   = {2017}
}

Comments

12 pages, 8 figures

Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1

Abstract

Keywords

Cite

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