13081

Mobile GPGPU Acceleration of Embodied Robot Simulation

Simon Jones, Matthew Studley, Alan Winfield
Bristol Robotics Laboratory, University of the West of England, Bristol, UK
Artificial Life and Intelligent Agents Symposium (Alia), 2014

@article{jones2014mobile,

   title={Mobile GPGPU Acceleration of Embodied Robot Simulation},

   author={Jones, Simon and Studley, Matthew and Winfield, Alan},

   year={2014}

}

Download Download (PDF)   View View   Source Source   Source codes Source codes

Package:

910

views

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.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: