Mobile GPGPU acceleration of embodied robot simulation

Simon W Jones, Matthew Studley, Alan F T Winfield

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

219 Downloads (Pure)

Abstract

It is desirable for a robot to be able to run on-board simulations of itself in a model of the world to evaluate action consequences and test new controller solutions, but simulation is computationally expensive. Modern mobile System-on-Chip devices have high performance at low power consumption levels and now incorporate powerful graphics processing units, making them good potential candidates to host onboard simulations. We use the parallel language OpenCL on two such devices to accelerate the widely-used Stage robot simulator and demonstrate both higher simulation speed and lower energy use on a multirobot benchmark. To the best of our knowledge, this is the first time that GPGPU on mobile devices have been used to accelerate robot simulation, and moves towards providing an autonomous robot with an embodied what-if capability.
Original languageEnglish
Title of host publicationArtificial Life and Intelligent Agents
Subtitle of host publicationFirst International Symposium, ALIA 2014, Bangor, UK, November 5-6, 2014. Revised Selected Papers
PublisherSpringer International Publishing AG
Pages97
Number of pages109
ISBN (Electronic)978-3-319-18084-7
ISBN (Print)978-3-319-18083-0
DOIs
Publication statusPublished - 25 Jun 2015

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer Verlag
Volume519
ISSN (Print)1865-0929

Fingerprint

Dive into the research topics of 'Mobile GPGPU acceleration of embodied robot simulation'. Together they form a unique fingerprint.

Cite this