Mobile GPGPU acceleration of embodied robot simulation

Jones, S. , Studley, M. and Winfield, A. F. (2014) Mobile GPGPU acceleration of embodied robot simulation. In: Headleand, C. J. , Teahan, W. J. and Ap Cenydd, L. , eds. (2014) Artificial Life and Intelligent Agents: First International Symposium, ALIA 2014, Bangor, UK, November 5-6, 2014. Revised Selected Papers. (519) Springer, pp. 97-109. ISBN 9783319180847 Available from:

Full text not available from this repository.


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.

Item Type: Book Section
Uncontrolled Keywords: GPU acceleration, robot simulation
Faculty/Department: Faculty of Environment and Technology > Department of Engineering Design and Mathematics
Depositing User: Professor A. Winfield
Date Deposited: 07 Sep 2015 13:42
Last Modified: 15 Oct 2016 00:13


Activity Overview
Origin of downloads

Additional statistics for this repository are available via IRStats2

Actions (login required)

View Item View Item